Triple

T14400247
Position Surface form Disambiguated ID Type / Status
Subject Doc Hollywood E357050 entity
Predicate producer P490 FINISHED
Object Neil Canton E217762 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: Neil Canton | Statement: [Doc Hollywood, producer, Neil Canton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Canton
Context triple: [Doc Hollywood, producer, Neil Canton]
  • A. Neil Canton chosen
    Neil Canton is an American film producer best known for his work on the Back to the Future trilogy and other major Hollywood films.
  • B. Michael Nolin
    Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
  • C. Aaron Ogden
    Aaron Ogden was an early 19th-century American politician and steamboat operator whose state-granted monopoly became the focus of the landmark U.S. Supreme Court case Gibbons v. Ogden, which helped define federal power over interstate commerce.
  • D. Kevin O'Connell
    Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
  • E. Ian LeFeuvre
    Ian LeFeuvre is a Canadian composer, songwriter, and producer known for his work in film, television, and popular music.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908500048190bb6a20fe318d5c62 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc424f88190ab3a1c1aec61cb40 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.