Triple
T6611959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir AP McCoy |
E149256
|
entity |
| Predicate | totalCareerWinners |
P8292
|
FINISHED |
| Object | over 4300 |
—
|
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 4300 | Statement: [Sir AP McCoy, totalCareerWinners, over 4300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCareerWinners Context triple: [Sir AP McCoy, totalCareerWinners, over 4300]
-
A.
careerWins
chosen
Indicates the total number of wins an individual or entity has accumulated over the course of their entire career.
-
B.
majorChampionshipWins
Indicates the number of major championship titles an entity has won.
-
C.
recordWinners
Indicates that an entity documents or stores information about the winners of a particular event, contest, or competition.
-
D.
careerManagerialWins
Indicates the total number of games or contests an individual has won in a managerial role over the course of their entire career.
-
E.
numberOfOpenChampionshipsWon
Indicates the total count of Open Championships that an entity has won.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.