Triple

T15315695
Position Surface form Disambiguated ID Type / Status
Subject Saving Grace E366150 entity
Predicate starring P1507 FINISHED
Object Bill Bailey E665879 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: Bill Bailey | Statement: [Saving Grace, starring, Bill Bailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Bailey
Context triple: [Saving Grace, starring, Bill Bailey]
  • A. Bill Bailey chosen
    Bill Bailey is a British comedian, musician, and actor known for his surreal stand-up, musical parodies, and appearances on panel shows like "Never Mind the Buzzcocks."
  • B. Matt Berry
    Matt Berry is an English actor, comedian, writer, and musician best known for his distinctive voice and roles in cult comedy series such as "The IT Crowd," "Toast of London," and "What We Do in the Shadows."
  • C. 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."
  • D. Russell Howard
    Russell Howard is a distinguished solar physicist recognized for his significant contributions to understanding the Sun and space weather.
  • E. 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.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd1d384819098f38402a8740d91 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a688a48190848eb7f065aba146 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.