Triple

T21570266
Position Surface form Disambiguated ID Type / Status
Subject Playdom E532264 entity
Predicate notableWork P4 FINISHED
Object Mobsters NE NERFINISHED

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: Mobsters | Statement: [Playdom, notableWork, Mobsters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobsters
Context triple: [Playdom, notableWork, Mobsters]
  • A. Mobsters chosen
    Mobsters is a 1991 crime drama film that chronicles the rise of famous American gangsters in the Prohibition era.
  • B. The Mob
    The Mob is a 1951 American film noir crime drama starring Broderick Crawford as a tough undercover cop infiltrating a corrupt waterfront underworld.
  • C. The Mob
    The Mob is an American hard rock band best known for featuring virtuoso guitarist Reb Beach and blending melodic rock with powerful vocals and guitar-driven sound.
  • D. Mafioso
    Mafioso is a hip-hop project by Chicago rapper Brian Fresco that showcases his gritty lyricism and street-influenced storytelling.
  • E. The Gangster
    The Gangster is a 1947 American film noir crime drama noted for its stylized cinematography and bleak portrayal of a small-time racketeer’s downfall.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cc5c448190887a836f577d01ba completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.