Triple

T9969772
Position Surface form Disambiguated ID Type / Status
Subject Dan in Real Life E196174 entity
Predicate starring P1507 FINISHED
Object Dane Cook E400009 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: Dane Cook | Statement: [Dan in Real Life, starring, Dane Cook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dane Cook
Context triple: [Dan in Real Life, starring, Dane Cook]
  • A. Dane Cook chosen
    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."
  • B. Jim Gaffigan
    Jim Gaffigan is an American stand-up comedian and actor known for his observational, family-friendly humor and roles in both film and television.
  • C. Bill Engvall
    Bill Engvall is an American stand-up comedian and actor best known as a member of the Blue Collar Comedy Tour and for his signature "Here's Your Sign" routine.
  • D. 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."
  • E. 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.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c002cc8190becc9730b2c01782 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:48 p.m.