Triple

T4451644
Position Surface form Disambiguated ID Type / Status
Subject Haruki Murakami E97620 entity
Predicate influencedBy P9 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: [Haruki Murakami, influencedBy, Kurt Vonnegut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt Vonnegut
Context triple: [Haruki Murakami, influencedBy, 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f3731c81909cc5a782b12ddd38 completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6138b6c8c8190a21ad00fb230c0f0 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:33 p.m.