Triple

T21252378
Position Surface form Disambiguated ID Type / Status
Subject Kingpin E523775 entity
Predicate alias P39 FINISHED
Object The Kingpin 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: The Kingpin | Statement: [Kingpin, alias, The Kingpin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Kingpin
Context triple: [Kingpin, alias, The 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 2003 television film that dramatizes the rise and fall of a powerful Mexican drug lord and his cartel.
  • C. 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.
  • D. 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.
  • E. Carnage
    Carnage is a notoriously violent Marvel supervillain symbiote, bonded most famously to serial killer Cletus Kasady and known as one of Spider-Man and Venom’s most dangerous foes.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359f5b408190b951adddba83c97a completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.