Triple

T4525334
Position Surface form Disambiguated ID Type / Status
Subject Tito Burns E103363 entity
Predicate workedWith P398 FINISHED
Object BBC E14486 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 | Statement: [Tito Burns, workedWith, BBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC
Context triple: [Tito Burns, workedWith, BBC]
  • A. BBC chosen
    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.
  • B. CBC Television
    CBC Television is the Canadian Broadcasting Corporation’s national English-language television network, offering news, entertainment, and cultural programming across Canada.
  • C. BBC News Channel
    BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
  • D. BBC television services
    BBC television services are the collection of television channels and platforms operated by the British Broadcasting Corporation, including national, regional, and specialized services across the UK.
  • E. BBC World News
    BBC World News is the BBC’s international television news channel, providing global news coverage and analysis to audiences worldwide.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd577490f48190ac1fb3cbf3d8a41e completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda4483aa481909a100bf20085d667 completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:03 p.m.