Triple

T15611134
Position Surface form Disambiguated ID Type / Status
Subject Harold Schuster E375292 entity
Predicate directed P7373 FINISHED
Object Bad Boy E1167055 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: Bad Boy | Statement: [Harold Schuster, directed, Bad Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Boy
Context triple: [Harold Schuster, directed, Bad Boy]
  • A. Bad Boy chosen
    Bad Boy is a 1949 American crime drama film about a troubled juvenile delinquent given a final chance at reform.
  • B. Bad Boy South
    Bad Boy South is a Southern hip hop-focused imprint of Bad Boy Records known for signing and promoting artists from the Southern United States rap scene.
  • C. American Bad Boy
    American Bad Boy is an independent urban drama film featuring Torrei Hart in a prominent role.
  • D. Bad Boy Hitmen
    Bad Boy Hitmen is a production team associated with Bad Boy Records, known for crafting many of the label’s signature hip-hop and R&B hits in the 1990s and early 2000s.
  • E. Bad Boy Boogie
    "Bad Boy Boogie" is a hard rock song by Australian band AC/DC, featured on their 1977 album *Let There Be Rock* and known for its driving riffs and rebellious lyrics.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3913908190acdd7da62b4f521d completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.