Triple
T18038442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saeed bin Suroor |
E431574
|
entity |
| Predicate | hasTrainedHorse |
P55479
|
FINISHED |
| Object | Sakhee |
—
|
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: Sakhee | Statement: [Saeed bin Suroor, hasTrainedHorse, Sakhee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakhee Context triple: [Saeed bin Suroor, hasTrainedHorse, Sakhee]
-
A.
Sakhee
chosen
Sakhee was a top-class Thoroughbred racehorse best known for his dominant 2001 Prix de l'Arc de Triomphe victory and narrow defeat in the Breeders' Cup Classic.
-
B.
Sahiban
Sahiban is a tragic heroine from the Punjabi romantic epic "Mirza Sahiban," renowned in South Asian folklore for her ill-fated love story with Mirza.
-
C.
Nabaneeta
Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
-
D.
Khairahani
Khairahani is a notable town in Nepal’s Chitwan District, recognized as a growing local center for agriculture, trade, and community life in the region.
-
E.
Sirkhi
Sirkhi is a dialect of the Dargin language, spoken by a subgroup of the Dargin people in the North Caucasus region of Russia.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be3cbe8c8190ba216eeebfc3cbec |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.