Triple

T5599809
Position Surface form Disambiguated ID Type / Status
Subject Yorick Le Saux E147088 entity
Predicate hasWorkedWith P9615 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: [Yorick Le Saux, hasWorkedWith, Jim Jarmusch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Jarmusch
Context triple: [Yorick Le Saux, hasWorkedWith, 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. 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."
  • C. 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."
  • D. Nicolas Winding Refn
    Nicolas Winding Refn is a Danish filmmaker known for his stylish, ultra-violent films such as "Drive," "Bronson," and "Only God Forgives."
  • E. Terrence Malick
    Terrence Malick is an American filmmaker renowned for his visually poetic, philosophical films that often explore nature, memory, and spirituality.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d936dc8190a2e599f1df9fdd91 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287139508190aa646918228cfdc0 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.