Triple

T17843825
Position Surface form Disambiguated ID Type / Status
Subject Force of Evil E445602 entity
Predicate editor P1954 FINISHED
Object Arthur Seid 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: Arthur Seid | Statement: [Force of Evil, editor, Arthur Seid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Seid
Context triple: [Force of Evil, editor, Arthur Seid]
  • A. Arthur Seid chosen
    Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
  • B. Carl Segaud
    Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
  • C. Edward Heyman
    Edward Heyman was an American lyricist best known for writing enduring popular standards during the Great American Songbook era.
  • D. Sidney Wagner
    Sidney Wagner was an American cinematographer known for his work on classic Hollywood films, including the 1946 adaptation of "The Yearling."
  • E. Henry Gondorff
    Henry Gondorff is a seasoned, charismatic con artist and grifter portrayed by Paul Newman in the classic 1973 film "The Sting."
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff980048190b496c55b83b3b318 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.