Triple

T1671362
Position Surface form Disambiguated ID Type / Status
Subject Jeff Koons E36132 entity
Predicate familyName P18 FINISHED
Object Koons E36132 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: Koons | Statement: [Jeff Koons, familyName, Koons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koons
Context triple: [Jeff Koons, familyName, Koons]
  • A. Jeff Koons chosen
    Jeff Koons is an American contemporary artist known for his large-scale, glossy sculptures of everyday objects and pop culture icons that blur the boundaries between high art and commercialism.
  • B. Koops
    Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
  • C. Maurizio Cattelan
    Maurizio Cattelan is an Italian contemporary artist known for his provocative, satirical sculptures and installations that often challenge social and political norms.
  • D. Yayoi Kusama
    Yayoi Kusama is a pioneering Japanese contemporary artist renowned for her immersive installations, polka-dot motifs, and exploration of infinity, repetition, and psychological themes.
  • E. Artie Kane
    Artie Kane is an American pianist, composer, and prolific film and television orchestrator known for his work on numerous Hollywood scores and TV movies.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62439e48819084e46b2719cdac58 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71b0cde08190a210cf387459e9ad completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.