Triple

T15987846
Position Surface form Disambiguated ID Type / Status
Subject Lisa de Cazotte E387742 entity
Predicate employer P7 FINISHED
Object NBC E2196 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: NBC | Statement: [Lisa de Cazotte, employer, NBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NBC
Context triple: [Lisa de Cazotte, employer, NBC]
  • A. NBC chosen
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • B. NBC
    NBC is a major westward-flowing ocean current along the northern coast of Brazil that transports warm water from the equatorial Atlantic toward the Caribbean.
  • C. NBC USA
    NBC USA is a major African American Christian denomination in the United States, formally known as the National Baptist Convention, USA, Inc.
  • D. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • E. CBS
    CBS is the commonly used abbreviation for the Commission for Basic Systems, a specialized body focused on foundational infrastructure and standards, likely within an international or governmental organizational context.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575993948190a05d60fc9d0c05fa completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1cb1388190b1ebccc6705e5974 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.