Triple

T15465206
Position Surface form Disambiguated ID Type / Status
Subject Playboy E372014 entity
Predicate hasContributor P4244 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: [Playboy, hasContributor, Kurt Vonnegut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt Vonnegut
Context triple: [Playboy, hasContributor, 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. 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. Donald Barthelme
    Donald Barthelme was an American postmodern short story writer and novelist known for his experimental, fragmentary style and darkly comic, metafictional narratives.
  • D. Donald Barthelme Sr.
    Donald Barthelme Sr. was an American modernist architect known for his influential public and institutional designs in Texas during the mid-20th century.
  • E. Joseph Heller
    Joseph Heller was an American novelist and satirist best known for his darkly comic World War II novel "Catch-22."
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f680cec8190836a5ec841dee224 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d01a23c819095cf75b7d5a801a9 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.