Triple

T5142893
Position Surface form Disambiguated ID Type / Status
Subject SQÜRL E116000 entity
Predicate hasMember P10 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: [SQÜRL, hasMember, Jim Jarmusch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Jarmusch
Context triple: [SQÜRL, hasMember, 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7883004881909c763da818d9b6e2 completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefa31458819094b53cbc7a2f5677 completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:43 p.m.