Triple
T13852815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaya Touré |
E332985
|
entity |
| Predicate | timesWonAfricanFootballerOfTheYear |
P107926
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Yaya Touré, timesWonAfricanFootballerOfTheYear, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timesWonAfricanFootballerOfTheYear Context triple: [Yaya Touré, timesWonAfricanFootballerOfTheYear, 4]
-
A.
numberOfAfricanPlayerOfTheYearAwards
chosen
Indicates the count of times an entity has received the African Player of the Year award.
-
B.
yearOfAward_African_Footballer_of_the_Year
Indicates the specific year in which an individual received the African Footballer of the Year award.
-
C.
timesWonBallonDor
Indicates the number of times an entity has received the Ballon d'Or award.
-
D.
BallonDorYear
Indicates the specific year in which a Ballon d'Or award was given.
-
E.
fifaWorldPlayerOfTheYear
Indicates that one entity has been awarded the FIFA World Player of the Year title for a given year or period.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02da9460819093a3ec5a3c62ea81 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.