Triple

T14657644
Position Surface form Disambiguated ID Type / Status
Subject Marsellus Wallace E344150 entity
Predicate employerOf P7 FINISHED
Object Jules Winnfield E177226 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: Jules Winnfield | Statement: [Marsellus Wallace, employerOf, Jules Winnfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jules Winnfield
Context triple: [Marsellus Wallace, employerOf, Jules Winnfield]
  • A. Jules Winnfield chosen
    Jules Winnfield is a philosophical, sharp-tongued hitman from Quentin Tarantino’s film "Pulp Fiction," known for his memorable monologues and moral transformation.
  • B. Vincent Vega
    Vincent Vega is a laid-back yet ruthless hitman in Quentin Tarantino’s film "Pulp Fiction," known for his dark humor, philosophical banter, and iconic dance scene with Mia Wallace.
  • C. Mr. Pink
    Mr. Pink is the fast-talking, paranoid professional thief played by Steve Buscemi in Quentin Tarantino’s crime film "Reservoir Dogs."
  • D. Travis Bickle
    Travis Bickle is the mentally unstable, alienated Vietnam War veteran who becomes a vigilante in Martin Scorsese’s film "Taxi Driver."
  • E. Mike Ehrmantraut
    Mike Ehrmantraut is a highly skilled, stoic fixer and enforcer in the Breaking Bad universe, known for his meticulous professionalism and complex moral code.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07acd748190b2821dee21ecd740 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:27 a.m.