Triple

T3568160
Position Surface form Disambiguated ID Type / Status
Subject Graham E75501 entity
Predicate hasNotableBearer P458 FINISHED
Object Graham Norton E236148 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: Graham Norton | Statement: [Graham, hasNotableBearer, Graham Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graham Norton
Context triple: [Graham, hasNotableBearer, Graham Norton]
  • A. Graham Norton chosen
    Graham Norton is an Irish television and radio presenter, comedian, and actor best known for hosting the long-running BBC chat show "The Graham Norton Show."
  • B. Noel Edmonds
    Noel Edmonds is a British television and radio presenter best known for hosting shows such as "Top of the Pops," "Noel's House Party," and "Deal or No Deal."
  • C. Jimmy Carr
    Jimmy Carr is a British stand-up comedian and television presenter known for his deadpan delivery, dark humor, and hosting numerous UK panel shows.
  • D. Lenny Henry
    Lenny Henry is a British comedian, actor, and television presenter known for his stand-up comedy, television work, and co-founding of the charity event Comic Relief.
  • E. Peter Kay
    Peter Kay is a British stand-up comedian, actor, and writer known for his observational humor and popular television comedies such as "Phoenix Nights."
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ab51d881908f004fae47ab09d9 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb01d108190bd098c86b0180b78 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.