Triple
T15261039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauto Star |
E364773
|
entity |
| Predicate | totalPrizeMoneyEarned |
P72606
|
FINISHED |
| Object | over 3,000,000 GBP |
—
|
LITERAL 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: over 3,000,000 GBP | Statement: [Kauto Star, totalPrizeMoneyEarned, over 3,000,000 GBP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalPrizeMoneyEarned Context triple: [Kauto Star, totalPrizeMoneyEarned, over 3,000,000 GBP]
-
A.
hasPrizeMoney
chosen
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
B.
equalPrizeMoneySince
Indicates that the prize money awarded has been the same for the referenced parties starting from a specific point in time.
-
C.
prizeMoneyLevel
Indicates the relative amount or tier of monetary reward associated with a prize or award.
-
D.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
E.
PgaTourMoneyListLeader
Indicates that the subject is the golfer who is currently leading the PGA Tour money list in earnings.
- F. None of above.
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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.