Triple

T15289342
Position Surface form Disambiguated ID Type / Status
Subject Choke E365485 entity
Predicate sourceMaterialAuthor P36855 FINISHED
Object Chuck Palahniuk E311587 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: Chuck Palahniuk | Statement: [Choke, sourceMaterialAuthor, Chuck Palahniuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuck Palahniuk
Context triple: [Choke, sourceMaterialAuthor, Chuck Palahniuk]
  • A. Chuck Palahniuk chosen
    Chuck Palahniuk is an American novelist and journalist best known for his transgressive fiction, particularly the novel "Fight Club."
  • B. Volodymyr Palahniuk
    Volodymyr Palahniuk, better known as Jack Palance, was an American actor famed for his intense screen presence and memorable tough-guy roles in film and television.
  • C. Matt Ruff
    Matt Ruff is an American novelist known for his genre-bending, imaginative works, including the novel that inspired the television series "Lovecraft Country."
  • D. Greg Grabianski
    Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
  • E. Jerry Stahl
    Jerry Stahl is an American novelist and screenwriter best known for his darkly comic, autobiographical work, including the addiction memoir "Permanent Midnight."
  • 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_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e2a03c81909ab24d4ed2b54698 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:15 a.m.