Triple

T16835622
Position Surface form Disambiguated ID Type / Status
Subject Force of Evil E409268 entity
Predicate director P255 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, director, Abraham Polonsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abraham Polonsky
Context triple: [Force of Evil, director, 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. Stephen Poliakoff
    Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
  • D. 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.
  • E. Alec Sokolow
    Alec Sokolow is an American screenwriter best known for co-writing the groundbreaking animated film "Toy Story."
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34d49d08190aa62f05d67244584 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a3296c8190978c1809264f66e1 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:23 a.m.