Triple

T19514159
Position Surface form Disambiguated ID Type / Status
Subject Painkiller E488233 entity
Predicate starring P1507 FINISHED
Object John Rothman NE NERFINISHED

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: John Rothman | Statement: [Painkiller, starring, John Rothman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Rothman
Context triple: [Painkiller, starring, John Rothman]
  • A. John Rothman chosen
    John Rothman is an American character actor known for his supporting roles in film and television, including appearances in projects like "Ghostbusters," "United 93," and the series "One Mississippi."
  • B. Gordon Edelstein
    Gordon Edelstein is an American theatre director known for his long tenure leading and shaping the artistic vision of major regional stages, particularly in New Haven.
  • C. ジョー・ローゼンタール
    ジョー・ローゼンタールは、第二次世界大戦中の硫黄島で星条旗を掲げる米兵たちを捉えた歴史的な報道写真で知られるアメリカの写真家です。
  • D. Raymond L. Orbach
    Raymond L. Orbach is an American physicist and academic leader known for his research in condensed matter physics and for serving in prominent science administration roles, including as the first U.S. Under Secretary for Science.
  • E. Stanley Rosenblum
    Stanley Rosenblum was a film editor best known for his work on major Hollywood productions, including the boxing sequel "Rocky II."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359a7070819099d925447c80bf23 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.