Triple

T15176048
Position Surface form Disambiguated ID Type / Status
Subject Hack E362610 entity
Predicate creator P184 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: [Hack, creator, David Koepp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Koepp
Context triple: [Hack, creator, 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. Mike Binder
    Mike Binder is an American filmmaker, screenwriter, and actor known for creating and appearing in both comedic and dramatic films and television series.
  • D. 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."
  • E. 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."
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0066236d481909e8ac47f496861ad completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88e7ff481909e3d2b280689aeba completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.