Triple

T20297154
Position Surface form Disambiguated ID Type / Status
Subject Frank Ligourin E505379 entity
Predicate associatedWith P37 FINISHED
Object John Klute NE NERFINISHED

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: John Klute | Statement: [Frank Ligourin, associatedWith, John Klute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Klute
Context triple: [Frank Ligourin, associatedWith, John Klute]
  • A. John Klute chosen
    John Klute is the title character of the 1971 neo-noir thriller film "Klute," a private detective whose investigation entangles him with a call girl played by Jane Fonda.
  • B. Don Law
    Don Law was a prominent record producer best known for his influential work in country and early rock music, including classic recordings by artists like Johnny Cash and Marty Robbins.
  • C. Larry McReynolds
    Larry McReynolds is a former NASCAR crew chief who became a prominent television racing analyst and commentator.
  • D. Don Laws
    Don Laws was a prominent American figure skating coach and former competitive skater, best known for mentoring elite athletes and contributing significantly to the sport’s development.
  • E. Patrick Hazlewood
    Patrick Hazlewood is a central character in the novel and film "My Policeman," a museum curator whose secret romantic relationship with a married policeman drives the story’s exploration of forbidden love and social prejudice in mid-20th-century England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677095fb481909806214da4002b59 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.