Triple
T11050200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Soldiers |
E261224
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | David Koepp |
E70760
|
NE FINISHED |
How this triple was built (2 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: David Koepp | Statement: [Toy Soldiers, screenwriter, David Koepp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Koepp Context triple: [Toy Soldiers, screenwriter, David Koepp]
-
A.
David Koepp
chosen
David Koepp is an American screenwriter and director best known for writing major Hollywood films such as Jurassic Park, Mission: Impossible, and Spider-Man.
-
B.
Mark Kasdan
Mark Kasdan is an American screenwriter best known for co-writing the 1985 Western film "Silverado."
-
C.
Zak Penn
Zak Penn is an American screenwriter and director known for his work on major science fiction and superhero films such as "The Avengers," "X2," and "Ready Player One."
-
D.
Tony Gilroy
Tony Gilroy is an American filmmaker and screenwriter best known for writing the Bourne film series and directing the acclaimed thriller "Michael Clayton."
-
E.
Scott Z. Burns
Scott Z. Burns is an American screenwriter, director, and producer known for socially conscious films such as Contagion, The Informant!, and The Report.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa146b148190a87205e542cc718f |
completed | April 18, 2026, 3:58 p.m. |
Created at: April 8, 2026, 9:26 p.m.