Triple

T15909990
Position Surface form Disambiguated ID Type / Status
Subject The Girlie Show E385819 entity
Predicate employerOf P7 FINISHED
Object Josh Girard E803177 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: Josh Girard | Statement: [The Girlie Show, employerOf, Josh Girard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Girard
Context triple: [The Girlie Show, employerOf, Josh Girard]
  • A. Josh Girard chosen
    Josh Girard is a fictional character from the television series "30 Rock," known as one of the original writers and performers on the show-within-the-show "TGS with Tracy Jordan."
  • B. Jeff Gourson
    Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
  • C. Gregg Bissonette
    Gregg Bissonette is an American rock and session drummer known for his work with artists like David Lee Roth, Ringo Starr, and numerous high-profile studio projects.
  • D. Ian LeFeuvre
    Ian LeFeuvre is a Canadian composer, songwriter, and producer known for his work in film, television, and popular music.
  • E. Greg DePaul
    Greg DePaul is an American screenwriter and playwright best known for co-writing the romantic comedy film "Bride Wars."
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565ea7a8819097efffda366b5245 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3bb7d608190babbea74a9ca9f4c completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:52 a.m.