Triple

T12278121
Position Surface form Disambiguated ID Type / Status
Subject Comedians in Cars Getting Coffee E292643 entity
Predicate notableGuest P10756 FINISHED
Object Ricky Gervais E172070 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: Ricky Gervais | Statement: [Comedians in Cars Getting Coffee, notableGuest, Ricky Gervais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ricky Gervais
Context triple: [Comedians in Cars Getting Coffee, notableGuest, Ricky Gervais]
  • A. Ricky Gervais chosen
    Ricky Gervais is an English comedian, actor, writer, and director best known for co-creating and starring in the original UK version of the television series "The Office."
  • B. Bob Gervais
    Bob Gervais is known primarily as the brother of British comedian, actor, and writer Ricky Gervais.
  • C. Richard Herring
    Richard Herring is a British comedian, writer, and podcaster known for his stand-up work, radio and TV comedy, and influential comedy podcasts.
  • D. Ian Hart
    Ian Hart is an English actor known for his versatile character roles in film and television, including his portrayal of Professor Quirrell in "Harry Potter and the Philosopher's Stone."
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6d72d081908c8697257df712f1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.