Triple

T5234976
Position Surface form Disambiguated ID Type / Status
Subject Klute E118199 entity
Predicate character P662 FINISHED
Object John Klute E418441 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: John Klute | Statement: [Klute, character, John Klute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Klute
Context triple: [Klute, character, 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. Larry McReynolds
    Larry McReynolds is a former NASCAR crew chief who became a prominent television racing analyst and commentator.
  • C. 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.
  • D. Edwin Glenn
    Edwin Glenn was a U.S. Army officer and explorer best known for leading early 20th-century expeditions in Alaska, for whom the Glenn Highway is named.
  • E. Larry Blanford
    Larry Blanford is a professional cinematographer known for his work on feature films such as the romantic comedy "Think Like a Man."
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b064b6881909f5746f55aa422c6 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef81cca948190ab00302787367f43 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.