Triple
T1646815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lionel Messi |
E35599
|
entity |
| Predicate | worldCupGoldenBallWinner |
P23685
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Lionel Messi, worldCupGoldenBallWinner, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupGoldenBallWinner Context triple: [Lionel Messi, worldCupGoldenBallWinner, 2014]
-
A.
playerOfTheMatch
Indicates that the subject was recognized as the standout performer (best player) in a particular match.
-
B.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
C.
playerOfTheTournament
chosen
Indicates that an entity has been recognized as the most outstanding performer in a particular tournament.
-
D.
bestYoungPlayer
Indicates that the subject is recognized as the most outstanding young player within a given group, competition, or context.
-
E.
mostValuablePlayerAward
Indicates that an entity has received a "Most Valuable Player" award recognizing it as the most outstanding performer in a particular context or competition.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.