Triple

T8641675
Position Surface form Disambiguated ID Type / Status
Subject Quality Time E204665 entity
Predicate starring P1507 FINISHED
Object Jim Gaffigan E7621 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: Jim Gaffigan | Statement: [Quality Time, starring, Jim Gaffigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Gaffigan
Context triple: [Quality Time, starring, Jim Gaffigan]
  • A. Jim Gaffigan chosen
    Jim Gaffigan is an American stand-up comedian and actor known for his observational, family-friendly humor and roles in both film and television.
  • B. Rob Riggle
    Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
  • C. Lee Mack
    Lee Mack is a British stand-up comedian, actor, and writer best known for his quick-fire wit and starring role in the sitcom "Not Going Out."
  • D. Adam DeVine
    Adam DeVine is an American actor, comedian, and writer best known for co-creating and starring in the sitcom "Workaholics" and for his roles in the "Pitch Perfect" film series and various comedy television shows.
  • E. Dane Cook
    Dane Cook is an American stand-up comedian and actor known for his energetic, observational comedy and roles in films such as "Good Luck Chuck" and "Employee of the Month."
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4795b07081908bfc9ebf35a50f07 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccb10f0881908db334cd090d3231 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:28 p.m.