Triple

T22432354
Position Surface form Disambiguated ID Type / Status
Subject National Health E554529 entity
Predicate hasMember P10 FINISHED
Object Tony Coe 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: Tony Coe | Statement: [National Health, hasMember, Tony Coe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Coe
Context triple: [National Health, hasMember, Tony Coe]
  • A. Tony Coe chosen
    Tony Coe was a versatile English jazz clarinetist and saxophonist known for his innovative work across traditional jazz, avant-garde, and film music.
  • B. Barry Coe
    Barry Coe was an American film and television actor best known for his role in the 1957 drama "Peyton Place" and for a series of prominent supporting roles during the 1950s and 1960s.
  • C. Nick Coe
    Nick Coe is an American retail executive best known for senior leadership roles at major apparel and beauty brands, including serving as a top executive at Limited Brands (now L Brands).
  • D. Kevin Coyne
    Kevin Coyne was an English singer-songwriter, guitarist, and painter known for his raw vocal style, outsider perspective, and influential work in the 1970s British rock and blues scene.
  • E. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.