Triple
T4412841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunder Snow |
E94890
|
entity |
| Predicate | trainer |
P41095
|
FINISHED |
| Object | Saeed bin Suroor |
E431574
|
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: Saeed bin Suroor | Statement: [Thunder Snow, trainer, Saeed bin Suroor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saeed bin Suroor Context triple: [Thunder Snow, trainer, Saeed bin Suroor]
-
A.
Saeed bin Suroor
chosen
Saeed bin Suroor is a prominent Emirati racehorse trainer best known for his long-time association with the Godolphin stable and numerous international Group 1 victories.
-
B.
Fahad bin Nafil
Fahad bin Nafil is a Saudi sports executive best known for leading Al Hilal SFC, one of Asia’s most successful football clubs.
-
C.
Abdulla Elyas
Abdulla Elyas is a Saudi entrepreneur best known as one of the co-founders of the Middle Eastern ride-hailing company Careem.
-
D.
Abdullah Haroon
Abdullah Haroon was a prominent Indian Muslim politician, businessman, and philanthropist from Sindh who played a key role in the Pakistan Movement.
-
E.
Omar Khan
Omar Khan was a prominent 19th-century ruler of the Kokand Khanate in Central Asia, known for his patronage of culture and literature.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136465c48190a5bdab81fe1438c4 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:29 p.m.