Triple

T11760519
Position Surface form Disambiguated ID Type / Status
Subject The Harder They Fall E279642 entity
Predicate screenwriter P2831 FINISHED
Object Philip Yordan E488534 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: Philip Yordan | Statement: [The Harder They Fall, screenwriter, Philip Yordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Yordan
Context triple: [The Harder They Fall, screenwriter, Philip Yordan]
  • A. Philip Yordan chosen
    Philip Yordan was an American screenwriter and producer known for his work on numerous mid-20th-century Hollywood films, often associated with Westerns and film noir.
  • B. George Aldrich
    George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
  • C. Tom Benedek
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • D. John Frankenheimer
    John Frankenheimer was an American film and television director best known for his tense political and action thrillers such as "The Manchurian Candidate" and "Ronin."
  • E. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09053a9b08190983e15f2da3d3889 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.