Triple

T21321653
Position Surface form Disambiguated ID Type / Status
Subject Dan Rowan E525631 entity
Predicate networkWorkedFor P11675 FINISHED
Object NBC 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: NBC | Statement: [Dan Rowan, networkWorkedFor, NBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NBC
Context triple: [Dan Rowan, networkWorkedFor, 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
    NBC is the central bank of Cambodia, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • D. NBC USA
    NBC USA is a major African American Christian denomination in the United States, formally known as the National Baptist Convention, USA, Inc.
  • E. CBS
    CBS is the Curtin Business School, a leading Australian institution offering business education and research as part of Curtin University.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed2640c8190a81b087e2c49c500 completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.