Triple

T6958116
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Thomas E161297 entity
Predicate workedWith P398 FINISHED
Object Jim Jarmusch E115999 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: Jim Jarmusch | Statement: [Jeremy Thomas, workedWith, Jim Jarmusch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Jarmusch
Context triple: [Jeremy Thomas, workedWith, Jim Jarmusch]
  • A. Jim Jarmusch chosen
    Jim Jarmusch is an American independent filmmaker known for his minimalist style, deadpan humor, and cult classics such as "Stranger Than Paradise," "Dead Man," and "Ghost Dog: The Way of the Samurai."
  • B. Bill Morrison
    Bill Morrison is an American comic book artist and writer best known for his work with The Simpsons and as a co-founder of Bongo Comics.
  • C. Andrew Bujalski
    Andrew Bujalski is an American independent filmmaker and actor often credited as a pioneer of the "mumblecore" movement in contemporary cinema.
  • D. Gus Van Sant
    Gus Van Sant is an American filmmaker known for his distinctive independent cinema style and acclaimed films such as "Good Will Hunting," "Milk," and "My Own Private Idaho."
  • E. Abel Ferrara
    Abel Ferrara is an American filmmaker known for his gritty, provocative crime dramas and cult classics such as "Bad Lieutenant" and "King of New York."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad240ac8190808014a5b4920b41 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75893a4808190b94a70d8823a01d3 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.