Triple
T4687894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Act |
E103964
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Michelle Dean
Michelle Dean is a Canadian journalist, critic, and screenwriter best known for co-creating and writing the true-crime drama miniseries "The Act."
|
E468042
|
NE FINISHED |
How this triple was built (4 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: Michelle Dean | Statement: [The Act, creator, Michelle Dean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Dean Context triple: [The Act, creator, Michelle Dean]
-
A.
Kayte Walsh
Kayte Walsh is a British former flight attendant who is best known as the wife of American actor Kelsey Grammer.
-
B.
Tricia O'Kelley
Tricia O'Kelley is an American actress best known for her comedic television roles, particularly in popular sitcoms.
-
C.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
D.
Michelle Burke
Michelle Burke is an American actress best known for her roles in 1990s films such as "Dazed and Confused" and "Coneheads."
-
E.
Diane McAfee
Diane McAfee is an American singer and actress best known as the mother of acclaimed musician Fiona Apple.
- 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: Michelle Dean Triple: [The Act, creator, Michelle Dean]
Generated description
Michelle Dean is a Canadian journalist, critic, and screenwriter best known for co-creating and writing the true-crime drama miniseries "The Act."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Dean Target entity description: Michelle Dean is a Canadian journalist, critic, and screenwriter best known for co-creating and writing the true-crime drama miniseries "The Act."
-
A.
Kayte Walsh
Kayte Walsh is a British former flight attendant who is best known as the wife of American actor Kelsey Grammer.
-
B.
Tricia O'Kelley
Tricia O'Kelley is an American actress best known for her comedic television roles, particularly in popular sitcoms.
-
C.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
D.
Michelle Burke
Michelle Burke is an American actress best known for her roles in 1990s films such as "Dazed and Confused" and "Coneheads."
-
E.
Diane McAfee
Diane McAfee is an American singer and actress best known as the mother of acclaimed musician Fiona Apple.
- F. None of above. chosen
Provenance (5 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6397f6888190a9024a51d4d34f2b |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39d43ffc8190b1e6caf34d5eaf0d |
completed | March 21, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69be3d05281481909a74ffb38fb5eb31 |
completed | March 21, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3dc3ce048190a725ea4b8e8a1ad4 |
completed | March 21, 2026, 6:42 a.m. |
Created at: March 20, 2026, 1:16 p.m.