Triple

T17002416
Position Surface form Disambiguated ID Type / Status
Subject Force of Evil E412478 entity
Predicate screenwriter P2831 FINISHED
Object Abraham Polonsky E318248 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: Abraham Polonsky | Statement: [Force of Evil, screenwriter, Abraham Polonsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abraham Polonsky
Context triple: [Force of Evil, screenwriter, Abraham Polonsky]
  • A. Abraham Polonsky chosen
    Abraham Polonsky was an American screenwriter and director known for his socially conscious, politically charged films and for being blacklisted during the Hollywood Red Scare.
  • B. Erich Pleskoff
    Erich Pleskoff is the birth name of Eric Pleskow, the Austrian-born American film producer and former president of United Artists and Orion Pictures.
  • C. André Polonski
    André Polonski is a central character in the French psychological thriller film "Merci pour le chocolat," around whom much of the movie’s suspense and mystery revolves.
  • D. Stephen Poliakoff
    Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
  • E. Ernest Kinoy
    Ernest Kinoy was an American screenwriter and playwright known for his work in television and film, including contributions to landmark miniseries and socially conscious dramas.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37f8ba88190b8d32a1d09b6e6fd completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233134288190bbe151f257150dfb completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:32 a.m.