Triple

T15294511
Position Surface form Disambiguated ID Type / Status
Subject Twin Peaks: Fire Walk with Me E365617 entity
Predicate featuresCharacter P626 FINISHED
Object James Hurley E1190927 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: James Hurley | Statement: [Twin Peaks: Fire Walk with Me, featuresCharacter, James Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Hurley
Context triple: [Twin Peaks: Fire Walk with Me, featuresCharacter, James Hurley]
  • A. James Hurley chosen
    James Hurley is a brooding, motorcycle-riding young man from the cult TV series "Twin Peaks," known for his romantic entanglements and emotional vulnerability.
  • B. Jim Hurley
    Jim Hurley is a notable individual recognized for achievements significant enough to be associated with the surname Hurley.
  • C. Gene Harrogate
    Gene Harrogate is a comic, hapless young drifter in Cormac McCarthy’s novel "Suttree," known for his bizarre schemes and naive optimism amid the book’s grim setting.
  • D. Tom Healey
    Tom Healey is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Healey.
  • E. Michael Alldredge
    Michael Alldredge was an American character actor known for his supporting roles in films and television during the 1970s and 1980s.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03682ea488190ac82fdbd0e855d34 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46436048190b79d1d18a179617b completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 3:15 a.m.