Triple

T23420964
Position Surface form Disambiguated ID Type / Status
Subject Clerks III E560648 entity
Predicate mainCharacter P1183 FINISHED
Object Dante Hicks 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: Dante Hicks | Statement: [Clerks III, mainCharacter, Dante Hicks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dante Hicks
Context triple: [Clerks III, mainCharacter, Dante Hicks]
  • A. Dante Hicks chosen
    Dante Hicks is a beleaguered convenience store clerk and the central everyman protagonist of Kevin Smith’s film "Clerks."
  • B. Dante Ross
    Dante Ross is an American hip-hop A&R executive and record producer known for his influential work with prominent rap and alternative artists since the late 1980s.
  • C. Darius Kincaid
    Darius Kincaid is a sharp-tongued, highly skilled hitman and key comedic figure portrayed by Samuel L. Jackson in the action-comedy film "The Hitman’s Bodyguard."
  • D. Sebastian Dungan
    Sebastian Dungan is a film producer best known for his work on acclaimed independent features such as "Transamerica."
  • E. Ezekiel Cobb
    Ezekiel Cobb is the naive small-town protagonist of the 1912 novel "The Cat's-Paw," whose unwitting involvement in big-city politics drives the story's satirical plot.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a54605dc81909aad9834ef6ff8a1 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:45 p.m.