Triple
T11202683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria (1980 film) |
E265077
|
entity |
| Predicate | childCharacter |
P83844
|
FINISHED |
| Object |
Phil Dawn
Phil Dawn is a child character featured in the 1980 crime drama film "Gloria."
|
E911804
|
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: Phil Dawn | Statement: [Gloria (1980 film), childCharacter, Phil Dawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Dawn Context triple: [Gloria (1980 film), childCharacter, Phil Dawn]
-
A.
Phil Johnston
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
-
B.
Nat Hiken
Nat Hiken was an American television writer, producer, and director best known for creating the classic 1950s and 1960s sitcoms "The Phil Silvers Show" and "Car 54, Where Are You?".
-
C.
Michael Nelson
Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
-
D.
Hal Stevens
Hal Stevens is an individual notable enough to be recognized as a bearer of the surname Stevens, though specific widely known achievements or roles are not clearly documented.
-
E.
Dan Dierdorf
Dan Dierdorf is a Hall of Fame American football offensive lineman and longtime broadcaster best known for his standout career with the NFL’s St. Louis Cardinals.
- 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: Phil Dawn Triple: [Gloria (1980 film), childCharacter, Phil Dawn]
Generated description
Phil Dawn is a child character featured in the 1980 crime drama film "Gloria."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phil Dawn Target entity description: Phil Dawn is a child character featured in the 1980 crime drama film "Gloria."
-
A.
Phil Johnston
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
-
B.
Nat Hiken
Nat Hiken was an American television writer, producer, and director best known for creating the classic 1950s and 1960s sitcoms "The Phil Silvers Show" and "Car 54, Where Are You?".
-
C.
Michael Nelson
Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
-
D.
Hal Stevens
Hal Stevens is an individual notable enough to be recognized as a bearer of the surname Stevens, though specific widely known achievements or roles are not clearly documented.
-
E.
Dan Dierdorf
Dan Dierdorf is a Hall of Fame American football offensive lineman and longtime broadcaster best known for his standout career with the NFL’s St. Louis Cardinals.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c36c188190bfa4d5f8e6cbbbea |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4971d537c8190ab53a2ca18d643f3 |
completed | April 19, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_69e49c09844881908e0d95ba3f239024 |
completed | April 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e7f8b108190bb69f532adf25809 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:29 p.m.