Triple

T471316
Position Surface form Disambiguated ID Type / Status
Subject Columbia Records E8562 entity
Predicate notableArtist P601 FINISHED
Object Barbra Streisand E24339 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: Barbra Streisand | Statement: [Columbia Records, notableArtist, Barbra Streisand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbra Streisand
Context triple: [Columbia Records, notableArtist, Barbra Streisand]
  • A. Barbra Streisand chosen
    Barbra Streisand is an acclaimed American singer, actress, and filmmaker known for her powerful voice, award-winning performances, and enduring influence on popular culture.
  • B. Bette Midler
    Bette Midler is an American singer, actress, and comedian renowned for her powerful vocals, theatrical performances, and acclaimed work in film, television, and on stage.
  • C. Dionne Warwick
    Dionne Warwick is an American singer and actress renowned for her soulful pop and R&B hits, particularly her collaborations with songwriters Burt Bacharach and Hal David.
  • D. Liza Minnelli
    Liza Minnelli is an American actress and singer best known for her Academy Award-winning performance in the film "Cabaret" and her powerful stage presence in musical theatre and concerts.
  • E. Cher
    Cher is a department in central France, named after the Cher River and known for its historic towns, vineyards, and agricultural landscapes.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eff0ca408190958405aec2ec6f53 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4711aeae88190924a592e4979a356 completed March 1, 2026, 5:02 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.