Triple

T13475975
Position Surface form Disambiguated ID Type / Status
Subject Charley Davis E318251 entity
Predicate createdBy P806 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: [Charley Davis, createdBy, Abraham Polonsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abraham Polonsky
Context triple: [Charley Davis, createdBy, 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. Stephen Poliakoff
    Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
  • C. 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.
  • D. Alec Sokolow
    Alec Sokolow is an American screenwriter best known for co-writing the groundbreaking animated film "Toy Story."
  • E. Harvey Rosenstock
    Harvey Rosenstock is a film editor known for his work on major motion pictures, including the Western film "Tombstone."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2551b48190a074fd256791742d completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8ab8548190a0a1adbe927c95d0 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:42 p.m.