Triple
T19917707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jockey Club Gold Cup |
E478706
|
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: [Jockey Club Gold Cup, notableWinner, Cigar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cigar Context triple: [Jockey Club Gold Cup, 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65995bd60819097cfad003dd29731 |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:53 p.m.