Triple

T5588858
Position Surface form Disambiguated ID Type / Status
Subject Air Bud E146825 entity
Predicate stars P1956 FINISHED
Object Michael Jeter E385935 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: Michael Jeter | Statement: [Air Bud, stars, Michael Jeter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Jeter
Context triple: [Air Bud, stars, Michael Jeter]
  • A. Michael Jeter chosen
    Michael Jeter was an American character actor known for his eccentric, heartfelt performances in film, television, and theater, including notable roles in projects like The Green Mile, Evening Shade, and Sesame Street.
  • B. Andrew Gant
    Andrew Gant is a British composer, singer, author, and academic known for his work in choral music and his writings on the history of English church music and carols.
  • C. Michael Tapper
    Michael Tapper is an American drummer best known for his work in indie and experimental rock bands, including his tenure with the group Grizzly Bear.
  • D. Eric Jager
    Eric Jager is an American medievalist and author best known for his historical narrative "The Last Duel," which recounts a famous 14th-century French trial by combat.
  • E. Sid Jeffers
    Sid Jeffers is a fictional character from the film "Humoresque," involved in the dramatic world surrounding a talented but troubled violinist.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209e892c8190b936a05ef2a14d36 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:38 p.m.