Triple

T22583933
Position Surface form Disambiguated ID Type / Status
Subject Star, Idaho E564732 entity
Predicate isNamed P40126 FINISHED
Object Star 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: Star | Statement: [Star, Idaho, isNamed, Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star
Context triple: [Star, Idaho, isNamed, Star]
  • A. Star
    Star is the costumed mascot character for the WNBA’s Atlanta Dream, entertaining fans and representing the team at games and events.
  • B. Star
    Star is the middle name of D'Lila Star Combs, one of Sean "Diddy" Combs' twin daughters.
  • C. Star
    "Star" is a musical drama television series created by Lee Daniels and Tom Donaghy that follows three talented young singers navigating the challenges of the music industry in Atlanta.
  • D. Star chosen
    Star is a small but growing suburban city in southwestern Idaho that forms part of the Boise metropolitan area.
  • E. Star
    Star is the surname of American television producer, director, and writer Darren Star, best known for creating hit series such as "Sex and the City" and "Beverly Hills, 90210."
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615b4fa08190a8d2d66e01db429f completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:44 p.m.