Triple

T10159450
Position Surface form Disambiguated ID Type / Status
Subject Kurt Vonnegut E233850 entity
Predicate familyName P18 FINISHED
Object Vonnegut E233850 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: Vonnegut | Statement: [Kurt Vonnegut, familyName, Vonnegut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vonnegut
Context triple: [Kurt Vonnegut, familyName, Vonnegut]
  • A. Kurt Vonnegut chosen
    Kurt Vonnegut was an American novelist and satirist known for his darkly humorous, genre-blending works such as "Slaughterhouse-Five" and "Cat's Cradle."
  • B. Mark Vonnegut
    Mark Vonnegut is an American pediatrician and memoirist known for writing about his experiences with mental illness and for being the son of author Kurt Vonnegut.
  • C. Joseph Heller
    Joseph Heller was an American novelist and satirist best known for his darkly comic World War II novel "Catch-22."
  • D. Thomas Pynchon
    Thomas Pynchon is a reclusive American novelist known for his dense, complex, and postmodern works such as "Gravity’s Rainbow" and "The Crying of Lot 49."
  • E. William Gaddis
    William Gaddis was an American postmodern novelist known for his dense, allusive, and formally experimental works such as "The Recognitions" and "JR."
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d31774617c8190848ad4990fe5801d completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:09 p.m.