Triple

T12091188
Position Surface form Disambiguated ID Type / Status
Subject John Clute E287944 entity
Predicate name P16 FINISHED
Object John Clute E287944 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 Clute | Statement: [John Clute, name, John Clute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Clute
Context triple: [John Clute, name, John Clute]
  • A. John Clute chosen
    John Clute is a prominent Canadian-born critic and author best known for his influential work in science fiction and fantasy criticism and reference.
  • B. Brian Lumley
    Brian Lumley is a British horror and dark fantasy author best known for his Necroscope series and for significantly expanding H. P. Lovecraft’s Cthulhu Mythos with his own mythos fiction.
  • C. Max Allan Collins
    Max Allan Collins is an American mystery and crime writer best known for his graphic novel "Road to Perdition" and his extensive work in detective fiction and tie-in novels.
  • D. Ramsey Campbell
    Ramsey Campbell is a highly acclaimed British horror and dark fantasy author renowned for his influential short stories and novels that have shaped modern supernatural fiction.
  • E. Garth Craven
    Garth Craven is a film editor known for his work on major Hollywood productions, including the comedy sequel "Miss Congeniality 2: Armed and Fabulous."
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9151797988190b0d007ea806bcf02 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66d1b44819091f638d2a621ecde completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.