Triple

T6044037
Position Surface form Disambiguated ID Type / Status
Subject Charlie Brooker E134620 entity
Predicate birthName P65 FINISHED
Object Charlton Brooker E134620 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: Charlton Brooker | Statement: [Charlie Brooker, birthName, Charlton Brooker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlton Brooker
Context triple: [Charlie Brooker, birthName, Charlton Brooker]
  • A. John Finnemore
    John Finnemore is a British comedy writer and performer best known for creating the radio sitcom "Cabin Pressure" and for his work on various BBC Radio 4 comedy shows.
  • B. Brett Goldstein
    Brett Goldstein is a British actor, comedian, and writer best known for his Emmy-winning portrayal of Roy Kent on the television series "Ted Lasso."
  • C. Keith O'Nions
    Keith O'Nions is a British geologist and academic leader who served as rector of Imperial College London and is known for his contributions to earth sciences and science policy.
  • D. Charlie Brooker chosen
    Charlie Brooker is a British writer, satirist, and television creator best known for creating the dystopian anthology series "Black Mirror."
  • E. Graham Crowden
    Graham Crowden was a British character actor known for his eccentric, often darkly comic roles in film and television, including notable performances in works like "If....", "A Very Peculiar Practice", and "Waiting for God."
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14149f97081908d57c21652097ad3 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:09 p.m.