Triple

T18320101
Position Surface form Disambiguated ID Type / Status
Subject American Horse of the Year E438850 entity
Predicate notableWinner P2766 FINISHED
Object Cigar 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: Cigar | Statement: [American Horse of the Year, notableWinner, Cigar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cigar
Context triple: [American Horse of the Year, notableWinner, Cigar]
  • A. Cigar chosen
    Cigar was a champion American Thoroughbred racehorse renowned for a 16-race winning streak and multiple major international victories in the mid-1990s.
  • B. Cigarette
    Cigarette is a minimalist steel sculpture by American artist Tony Smith, known for its towering, monolithic form and exploration of geometric abstraction in public space.
  • C. Cigaret
    Cigaret is a brash, young hobo who serves as a central foil and apprentice figure to the seasoned drifter A No. 1 in the 1973 film "Emperor of the North."
  • D. Tabac
    Tabac is a famous high-speed left-hand corner on the Monaco Grand Prix street circuit, located near the harbor and known for its close barriers and precision driving demands.
  • E. Snuff
    Snuff is a transgressive novel by Chuck Palahniuk that satirically explores pornography, celebrity, and exploitation through the story of a record-breaking adult film shoot.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa4d3308190883714e1ef6a1d84 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.