Triple

T12992137
Position Surface form Disambiguated ID Type / Status
Subject L.A. Takedown E321930 entity
Predicate editor P1954 FINISHED
Object Dov Hoenig E563233 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: Dov Hoenig | Statement: [L.A. Takedown, editor, Dov Hoenig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dov Hoenig
Context triple: [L.A. Takedown, editor, Dov Hoenig]
  • A. Dov Hoenig chosen
    Dov Hoenig is a film editor known for his work on major Hollywood movies, including the neo-noir science fiction film "Dark City."
  • B. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • C. Yehuda Hoffman
    Yehuda Hoffman is an astrophysicist known for his work in cosmology and large-scale structure, including helping identify and characterize the Laniakea Supercluster.
  • D. Avron Fogelman
    Avron Fogelman is an American businessman and philanthropist best known as a former co-owner of the Kansas City Royals Major League Baseball team.
  • E. Eric Tannenbaum
    Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ccb9c3481908820f7620102e373 completed May 8, 2026, 4:18 p.m.
Created at: April 9, 2026, 8:44 p.m.