Triple

T3841984
Position Surface form Disambiguated ID Type / Status
Subject Bill Burr E93470 entity
Predicate influencedBy P9 FINISHED
Object Bill Hicks E266384 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 Hicks | Statement: [Bill Burr, influencedBy, Bill Hicks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Hicks
Context triple: [Bill Burr, influencedBy, Bill Hicks]
  • A. Bill Hicks chosen
    Bill Hicks was an American stand-up comedian known for his dark, satirical, and politically charged humor that critiqued consumerism, religion, and the media.
  • B. George Carlin
    George Carlin was an influential American stand-up comedian, social critic, and author known for his sharp wit, boundary-pushing routines, and incisive commentary on language, politics, and culture.
  • C. Mort Sahl
    Mort Sahl was a pioneering American stand-up comedian known for his sharp, politically charged, conversational style that helped transform modern comedy.
  • D. Larry the Cable Guy
    Larry the Cable Guy is an American stand-up comedian and actor best known for his blue-collar comedy persona and his role as Mater in the Disney-Pixar Cars film series.
  • E. Lewis Black
    Lewis Black is an American stand-up comedian, actor, and author best known for his angry, rant-filled style of political and social commentary.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040d478081909a903bbf02f0d0ec completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.