Triple

T3196769
Position Surface form Disambiguated ID Type / Status
Subject Jodie Comer E66953 entity
Predicate employer P7 FINISHED
Object BBC America E83675 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: BBC America | Statement: [Jodie Comer, employer, BBC America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC America
Context triple: [Jodie Comer, employer, BBC America]
  • A. BBC America chosen
    BBC America is a U.S.-based cable television network that primarily features British programming, including dramas, comedies, and science fiction series, alongside some original American content.
  • B. NBC USA
    NBC USA is a major African American Christian denomination in the United States, formally known as the National Baptist Convention, USA, Inc.
  • C. BBC News Channel
    BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
  • D. ABC News
    ABC News is the news division of the American Broadcasting Company, providing television, digital, and radio news coverage in the United States and internationally.
  • E. BBC
    The BBC (British Broadcasting Corporation) is the United Kingdom’s publicly funded national broadcaster, known worldwide for producing and distributing television, radio, and online content.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7177b488190b7a1b40ff3fae15f completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bb2c9908190b3abc395537e22ac completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.