Triple

T9762784
Position Surface form Disambiguated ID Type / Status
Subject Spider-Man (2002 film) E236708 entity
Predicate editedBy P1954 FINISHED
Object Arthur Coburn E356222 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: Arthur Coburn | Statement: [Spider-Man (2002 film), editedBy, Arthur Coburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Coburn
Context triple: [Spider-Man (2002 film), editedBy, Arthur Coburn]
  • A. Arthur Coburn chosen
    Arthur Coburn is a film editor best known for his work on major Hollywood productions, including the action-comedy classic "Beverly Hills Cop."
  • B. Arthur Coburn
    Arthur Coburn is a film editor best known for his work on the 1994 Jim Carrey comedy "The Mask."
  • C. Warren William
    Warren William was an American stage and film actor of the 1930s, best known for his suave, often morally ambiguous leading and supporting roles in Hollywood pre-Code dramas and mysteries.
  • D. Charles Bickford
    Charles Bickford was an American character actor known for his rugged screen presence and acclaimed supporting roles in numerous classic Hollywood films.
  • E. Warner Baxter
    Warner Baxter was an American film actor best known for his Academy Award–winning performance in the 1928 film "In Old Arizona" and for his roles in early sound-era Hollywood dramas and crime films.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda09d8bc88190808145f141b4a9f8 completed April 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcec777c81908b2eff64f4756517 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:25 p.m.