Triple
T10961281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hennessy Gold Cup |
E258978
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Denman |
E896318
|
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: Denman | Statement: [Hennessy Gold Cup, notableWinner, Denman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denman Context triple: [Hennessy Gold Cup, notableWinner, Denman]
-
A.
Denman
Denman is a small rural town in New South Wales, Australia, known for its agriculture, vineyards, and proximity to the Upper Hunter Valley wine region.
-
B.
Denman
chosen
Denman was a legendary British National Hunt racehorse famed for his powerful front-running style and multiple major steeplechase victories.
-
C.
Denman Island
Denman Island is a small Gulf Island off the coast of British Columbia, Canada, known for its rural community, arts scene, and natural beauty.
-
D.
Mayne
Mayne is the surname of Thom Mayne, the influential American architect and founder of the firm Morphosis, known for his bold, unconventional designs.
-
E.
Staig
Staig is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7712bf65c8190b847784d885876fd |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3449113f08190b83ffbf1b4c46518 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:23 p.m.