Triple

T14567000
Position Surface form Disambiguated ID Type / Status
Subject Peter Parker E341808 entity
Predicate enemy P4567 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: [Peter Parker, enemy, Kingpin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingpin
Context triple: [Peter Parker, enemy, 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. Kingpin Suite
    Kingpin Suite is a luxury, bowling-themed hotel suite in Las Vegas known for its in-room bowling lanes and over-the-top entertainment amenities.
  • D. 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.
  • 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 (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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac669cc819083e05620b1e8c370 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.