Triple

T1637460
Position Surface form Disambiguated ID Type / Status
Subject Death Becomes Her E35388 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: [Death Becomes Her, screenwriter, David Koepp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Koepp
Context triple: [Death Becomes Her, 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. Steve Kloves
    Steve Kloves is an American screenwriter best known for adapting most of the Harry Potter novels into the successful film series.
  • C. Lawrence Kasdan
    Lawrence Kasdan is an American filmmaker and screenwriter known for his work on major films such as *The Empire Strikes Back*, *Raiders of the Lost Ark*, and *The Big Chill*.
  • D. Jake Kasdan
    Jake Kasdan is an American film and television director, producer, and screenwriter known for movies such as "Walk Hard: The Dewey Cox Story," "Jumanji: Welcome to the Jungle," and "Bad Teacher."
  • E. Roberto Orci
    Roberto Orci is a Mexican-American screenwriter and producer best known for co-writing and producing major science fiction and action franchises such as the rebooted Star Trek films and the Transformers series.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a192d588190bbfa4693ed787c05 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aba8d4c819098be250f8487df45 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:28 p.m.