Triple

T17743155
Position Surface form Disambiguated ID Type / Status
Subject Margaret Beckett E442913 entity
Predicate workedUnderPrimeMinister P32928 FINISHED
Object Gordon Brown 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: Gordon Brown | Statement: [Margaret Beckett, workedUnderPrimeMinister, Gordon Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Brown
Context triple: [Margaret Beckett, workedUnderPrimeMinister, Gordon Brown]
  • A. Gordon Brown chosen
    Gordon Brown is a British politician who served as Prime Minister of the United Kingdom from 2007 to 2010 and was previously a long-serving Chancellor of the Exchequer.
  • B. Tony Blair
    Tony Blair is a British politician who served as Prime Minister of the United Kingdom from 1997 to 2007 and was a leading architect of the UK’s intervention in the Iraq War.
  • C. John Prescott
    John Prescott is a British Labour Party politician who served as Deputy Prime Minister of the United Kingdom from 1997 to 2007 under Tony Blair.
  • D. Will Blair
    Will Blair is a film composer best known for his atmospheric, tension-building scores for independent thrillers such as "Green Room."
  • E. John Reid
    John Reid is a fictional character portrayed by actor Aidan Murphy, likely within a film or television production.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ace58988190b927ca29af7a8b77 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.