Triple

T14535693
Position Surface form Disambiguated ID Type / Status
Subject Norm Macdonald E341036 entity
Predicate influenced P9 FINISHED
Object Bill Burr E93470 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 Burr | Statement: [Norm Macdonald, influenced, Bill Burr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Burr
Context triple: [Norm Macdonald, influenced, Bill Burr]
  • A. Bill Burr chosen
    Bill Burr is an American stand-up comedian, actor, and podcaster known for his abrasive, observational humor and candid takes on social and cultural issues.
  • B. Hannibal Buress
    Hannibal Buress is an American stand-up comedian, actor, writer, and producer known for his laid-back delivery, sharp observational humor, and roles in shows like "Broad City" and films such as "Spider-Man: Homecoming."
  • C. Patton Oswalt
    Patton Oswalt is an American stand-up comedian, actor, and writer known for his sharp observational humor and roles in film and television, including voicing Remy in Pixar's "Ratatouille."
  • D. Paul F. Tompkins
    Paul F. Tompkins is an American comedian, actor, and writer known for his stand-up, podcast appearances, and character roles in television and film.
  • E. Paul Scheer
    Paul Scheer is an American actor, comedian, writer, and podcaster known for his work in improvisational comedy, television series like "The League," and the movie-focused podcast "How Did This Get Made?"
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1b9d39881908c7a3a5b17d432af completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7563188190b50c4413cd5dde37 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:22 a.m.