Triple

T14454635
Position Surface form Disambiguated ID Type / Status
Subject In Old Chicago E358424 entity
Predicate castMember P1668 FINISHED
Object Paul Hurst E868128 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: Paul Hurst | Statement: [In Old Chicago, castMember, Paul Hurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Hurst
Context triple: [In Old Chicago, castMember, Paul Hurst]
  • A. Paul Hurst chosen
    Paul Hurst was an American character actor and director known for his prolific appearances in Hollywood films from the silent era through the 1950s, often playing tough or comedic supporting roles.
  • B. Charlie Hodgson
    Charlie Hodgson is a former England international rugby union fly-half renowned as one of the Premiership’s most prolific points scorers.
  • C. Douglas Shearer
    Douglas Shearer was a pioneering Canadian-American sound engineer and special effects designer in Hollywood, renowned for his groundbreaking work at MGM and multiple Academy Awards.
  • D. Mark Hughes
    Mark Hughes is a former Welsh professional footballer and manager best known as a prolific striker for Manchester United and as a key figure for the Wales national team.
  • E. Lee Humphrey
    Lee Humphrey is an American former college basketball guard best known as a sharpshooting three-point specialist for the University of Florida's back-to-back national championship teams in the mid-2000s.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648f56608190b6d55c592c088575 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.