Triple
T2797809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Cruyff |
E53079
|
entity |
| Predicate | BallonDorWinYear |
P30841
|
FINISHED |
| Object | 1971 |
—
|
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: 1971 | Statement: [Johan Cruyff, BallonDorWinYear, 1971]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BallonDorWinYear Context triple: [Johan Cruyff, BallonDorWinYear, 1971]
-
A.
FIFABallonDorWinner
chosen
Indicates that the subject is the football player who won the FIFA Ballon d'Or award in the specified year or context.
-
B.
fifaWorldPlayerOfTheYear
Indicates that one entity has been awarded the FIFA World Player of the Year title for a given year or period.
-
C.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
D.
worldCupTitleYear
Indicates the specific year in which an entity won or held a FIFA World Cup title.
-
E.
bestYoungPlayer
Indicates that the subject is recognized as the most outstanding young player within a given group, competition, or context.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf204148190a53f3f30d645d94c |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.