Triple

T20372299
Position Surface form Disambiguated ID Type / Status
Subject Jean Beauvoir E497093 entity
Predicate associatedAct P37 FINISHED
Object Kiss NE NERFINISHED

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: Kiss | Statement: [Jean Beauvoir, associatedAct, Kiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiss
Context triple: [Jean Beauvoir, associatedAct, Kiss]
  • A. Kiss
    Kiss is Carly Rae Jepsen’s 2012 pop studio album that features her breakout hit “Call Me Maybe” and helped establish her international fame.
  • B. Kiss chosen
    Kiss is an American rock band known for their elaborate stage makeup, theatrical live performances, and influential role in hard rock and heavy metal music.
  • C. Kiss
    "Kiss" is a renowned performance artwork by Tino Sehgal in which a pair of performers enact a continuous, evolving embrace that references iconic kisses from art history.
  • D. Kiss
    "Kiss" is a 1988 cover version of Prince's hit song performed by Welsh singer Tom Jones in collaboration with the band Art of Noise.
  • E. KISS
    KISS is a family of double-deck electric multiple unit trains produced by Stadler Rail for high-capacity regional and commuter services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678769f9c81909a52ef3c43e6064d completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.