Triple

T9424929
Position Surface form Disambiguated ID Type / Status
Subject Around the World in a Day E227241 entity
Predicate followedBySingle P134 FINISHED
Object Kiss E698173 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: Kiss | Statement: [Around the World in a Day, followedBySingle, Kiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiss
Context triple: [Around the World in a Day, followedBySingle, Kiss]
  • A. Kiss
    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.
  • B. Kiss chosen
    "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.
  • 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 family of double-deck electric multiple unit trains produced by Stadler Rail for high-capacity regional and commuter services.
  • E. Les Kiss
    Les Kiss is an Australian rugby union coach and former player known for his roles with various professional teams and national sides, including the Queensland Reds.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c8f59dc8190854dfc0d287731c6 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139d4e660819099ec1ffd6c8d3305 completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:49 p.m.