Triple

T5354176
Position Surface form Disambiguated ID Type / Status
Subject Kurt E102649 entity
Predicate hasNotableBearer P458 FINISHED
Object Kurt 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: Kurt Vonnegut | Statement: [Kurt, hasNotableBearer, Kurt Vonnegut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt Vonnegut
Context triple: [Kurt, hasNotableBearer, Kurt 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. 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."
  • C. William Gaddis
    William Gaddis was an American postmodern novelist known for his dense, allusive, and formally experimental works such as "The Recognitions" and "JR."
  • D. Harlan Ellison
    Harlan Ellison was an influential American writer best known for his provocative speculative fiction, sharp criticism, and award-winning short stories and teleplays.
  • E. Don DeLillo
    Don DeLillo is a critically acclaimed American novelist known for his postmodern works that explore themes of consumerism, technology, and the anxieties of contemporary life, including novels such as "White Noise" and "Underworld."
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86149774819084049a8785e3f2e0 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21dbc540819086aca16af1aa6213 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.