Triple

T13609540
Position Surface form Disambiguated ID Type / Status
Subject Sam Richardson E325152 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: [Sam Richardson, notableWork, Good Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Boys
Context triple: [Sam Richardson, 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. Broke Boys
    "Broke Boys" is a collaborative rap track by Drake and 21 Savage from their joint album "Her Loss," known for its aggressive lyrics and dark, moody production.
  • E. 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.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f98286c8190a866b5edc21f1225 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.