Triple

T10920475
Position Surface form Disambiguated ID Type / Status
Subject Maya Lopez E257932 entity
Predicate affiliation P10 FINISHED
Object Kingpin E523775 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: Kingpin | Statement: [Maya Lopez, affiliation, Kingpin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingpin
Context triple: [Maya Lopez, affiliation, Kingpin]
  • A. Kingpin chosen
    Kingpin is a powerful crime lord in the Marvel Universe, best known as a major adversary of heroes like Spider-Man and Daredevil.
  • B. Kingpin
    Kingpin is a 1996 sports comedy film about a washed-up former bowling prodigy who mentors an Amish bowling talent, known for its offbeat humor and cult following.
  • C. Street Kings
    Street Kings is a 2008 crime thriller film about corruption and moral conflict within the Los Angeles Police Department, starring Keanu Reeves and directed by David Ayer.
  • D. 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.
  • E. 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.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77081a0c48190b7aa4a482032d1ea completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2171adbbc8190916a5463b6e5c186 completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.