Triple

T15616636
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Howe E375429 entity
Predicate networkDebut P45055 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: [Rebecca Howe, networkDebut, NBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NBC
Context triple: [Rebecca Howe, networkDebut, 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d1607c8190a42dc664abe45b32 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.