Triple
T2507748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zinedine Zidane |
E52623
|
entity |
| Predicate | fifaWorldPlayerOfTheYear |
P40879
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Zinedine Zidane, fifaWorldPlayerOfTheYear, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaWorldPlayerOfTheYear Context triple: [Zinedine Zidane, fifaWorldPlayerOfTheYear, 1998]
-
A.
FIFABallonDorWinner
Indicates that the subject is the football player who won the FIFA Ballon d'Or award in the specified year or context.
-
B.
bestYoungPlayer
Indicates that the subject is recognized as the most outstanding young player within a given group, competition, or context.
-
C.
worldRugbyPlayerOfTheYearIn
Indicates that an entity was awarded the title of World Rugby Player of the Year in a specified year or time period.
-
D.
playerOfTheMatch
Indicates that the subject was recognized as the standout performer (best player) in a particular match.
-
E.
mostImprovedPlayer
Indicates that an entity has shown the greatest positive improvement in performance or ability over a defined period compared to its peers.
- F. None of above. chosen
Provenance (4 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd65c9d508190957285a078698ed2 |
completed | March 7, 2026, 7:40 a.m. |
Created at: March 6, 2026, 9:46 p.m.