Triple

T10367807
Position Surface form Disambiguated ID Type / Status
Subject Human Traffic E244299 entity
Predicate mainCharacter P1183 FINISHED
Object Jip E860615 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: Jip | Statement: [Human Traffic, mainCharacter, Jip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jip
Context triple: [Human Traffic, mainCharacter, Jip]
  • A. Jip chosen
    Jip is a central character in the British cult film "Human Traffic," known for his introspective narration and exploration of youth culture and clubbing in late-1990s Cardiff.
  • B. Jeraiah Jip
    Jeraiah Jip is a character from the Discworld novel "A Man’s a Man" (likely a misattribution of Terry Pratchett’s work), depicted as a figure within its satirical fantasy setting.
  • C. Norbit
    Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
  • D. Digger
    Digger was the nickname of Al Cervi, a Hall of Fame American professional basketball player and coach known for his tough, hard-nosed style of play in the early NBA.
  • E. Digger
    Digger is the central character of the play "The Hasty Heart," around whom the story’s emotional and dramatic developments revolve.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb8e96e081908282bb0f82719abe completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, noon