Triple
T914016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress |
E19726
|
entity |
| Predicate | notableYoungWinner |
P22884
|
FINISHED |
| Object |
Marlee Matlin
Marlee Matlin is an American actress and activist who, as a deaf performer, became the youngest winner of the Academy Award for Best Actress for her role in "Children of a Lesser God."
|
E108723
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Marlee Matlin | Statement: [Academy Award for Best Actress, notableYoungWinner, Marlee Matlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlee Matlin Context triple: [Academy Award for Best Actress, notableYoungWinner, Marlee Matlin]
-
A.
Linda Hunt
Linda Hunt is an American actress known for her Academy Award–winning role in "The Year of Living Dangerously" and for playing Hetty Lange on the television series "NCIS: Los Angeles."
-
B.
Helen Hunt
Helen Hunt is an American actress and filmmaker best known for her Emmy-winning role on the sitcom "Mad About You" and her Academy Award-winning performance in the film "As Good as It Gets."
-
C.
Melissa Leo
Melissa Leo is an American actress acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Fighter."
-
D.
Geena Davis
Geena Davis is an American actress and producer known for her roles in films such as "Thelma & Louise," "A League of Their Own," and "The Fly," as well as for her advocacy for gender equality in media.
-
E.
Glenn Close
Glenn Close is an acclaimed American actress known for her powerful performances in film, television, and theater, with multiple Academy Award and Tony Award nominations and wins.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marlee Matlin Triple: [Academy Award for Best Actress, notableYoungWinner, Marlee Matlin]
Generated description
Marlee Matlin is an American actress and activist who, as a deaf performer, became the youngest winner of the Academy Award for Best Actress for her role in "Children of a Lesser God."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marlee Matlin Target entity description: Marlee Matlin is an American actress and activist who, as a deaf performer, became the youngest winner of the Academy Award for Best Actress for her role in "Children of a Lesser God."
-
A.
Linda Hunt
Linda Hunt is an American actress known for her Academy Award–winning role in "The Year of Living Dangerously" and for playing Hetty Lange on the television series "NCIS: Los Angeles."
-
B.
Helen Hunt
Helen Hunt is an American actress and filmmaker best known for her Emmy-winning role on the sitcom "Mad About You" and her Academy Award-winning performance in the film "As Good as It Gets."
-
C.
Melissa Leo
Melissa Leo is an American actress acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Fighter."
-
D.
Geena Davis
Geena Davis is an American actress and producer known for her roles in films such as "Thelma & Louise," "A League of Their Own," and "The Fly," as well as for her advocacy for gender equality in media.
-
E.
Glenn Close
Glenn Close is an acclaimed American actress known for her powerful performances in film, television, and theater, with multiple Academy Award and Tony Award nominations and wins.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableYoungWinner Context triple: [Academy Award for Best Actress, notableYoungWinner, Marlee Matlin]
-
A.
notableWinner
Indicates that the subject is a particularly distinguished or prominent winner of the referenced competition, award, or contest.
-
B.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
-
C.
notableMultipleWinners
Indicates that the subject has achieved multiple wins or repeated successes in a notable event, competition, or award.
-
D.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
E.
notableCeremony
Indicates that an entity is associated with a significant or distinguished ceremony, event, or formal observance.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b6755c488190b7f7848110e3ea2c |
completed | March 1, 2026, 9:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf5e59588190b9d2bb00adf5c871 |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7d037e4608190a898b872cc3bfd8d |
completed | March 4, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d0b60f6881908060455f4a9b4ec6 |
completed | March 4, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69a4b292d3408190947cbc2f794cf8c5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b67499708190a65f24d1fd7e4ec5 |
completed | March 1, 2026, 9:58 p.m. |
Created at: March 1, 2026, 7:39 p.m.