Triple

T12337398
Position Surface form Disambiguated ID Type / Status
Subject Todd Lieberman E294124 entity
Predicate notableWork P4 FINISHED
Object Good Boys E585637 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: Good Boys | Statement: [Todd Lieberman, notableWork, Good Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Boys
Context triple: [Todd Lieberman, notableWork, Good Boys]
  • A. Goodboys
    Goodboys is a British electronic music duo known for their catchy vocal hooks and collaborations on international dance hits.
  • B. Good Boys (2019 film) chosen
    Good Boys (2019 film) is a 2019 coming-of-age comedy that follows three sixth-grade friends on a chaotic adventure filled with raunchy humor and misadventures as they try to prepare for their first middle-school party.
  • C. For the Boys
    For the Boys is a 1991 musical drama film starring Bette Midler as a USO entertainer whose decades-long performing career is set against the backdrop of multiple American wars.
  • D. Booksmart
    Booksmart is a 2019 coming-of-age comedy film that follows two overachieving high school friends who decide to cram four years of missed fun into one wild night before graduation.
  • E. Boy Pick-Up: The Movie
    Boy Pick-Up: The Movie is a Filipino comedy film centered on the popular "pick-up lines" character from the long-running sketch comedy show Bubble Gang.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f678698819091462b44ff3435f6 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa5f21c8190bcb32a078a2f7ebb completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.