Triple

T8238204
Position Surface form Disambiguated ID Type / Status
Subject Peter Kay E192464 entity
Predicate name P16 FINISHED
Object Peter Kay E192464 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: Peter Kay | Statement: [Peter Kay, name, Peter Kay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Kay
Context triple: [Peter Kay, name, Peter Kay]
  • A. Peter Kay chosen
    Peter Kay is a British stand-up comedian, actor, and writer known for his observational humor and popular television comedies such as "Phoenix Nights."
  • B. Russell Howard
    Russell Howard is a British stand-up comedian and television presenter best known for his energetic observational comedy and shows like "Russell Howard's Good News" and "The Russell Howard Hour."
  • C. Russell Howard
    Russell Howard is a distinguished solar physicist recognized for his significant contributions to understanding the Sun and space weather.
  • D. 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.
  • E. Paul Merton
    Paul Merton is a British comedian and improviser best known for his long-running appearances on radio and television panel shows such as "Have I Got News for You" and "Just a Minute."
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783a8cf48190bf85394fd3bd79e2 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3504e6ac8190b4cb12c80a7e7fc0 completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:47 p.m.