Triple
T6613520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CR7 Museum |
E149291
|
entity |
| Predicate | exhibits |
P4908
|
FINISHED |
| Object | Golden Boot awards of Cristiano Ronaldo |
E171392
|
NE 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: Golden Boot awards of Cristiano Ronaldo | Statement: [CR7 Museum, exhibits, Golden Boot awards of Cristiano Ronaldo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Boot awards of Cristiano Ronaldo Context triple: [CR7 Museum, exhibits, Golden Boot awards of Cristiano Ronaldo]
-
A.
European Golden Shoe
chosen
The European Golden Shoe is an annual football award presented to the top goal scorer in league matches across all European top-division competitions.
-
B.
FIFA World Cup Golden Boot
The FIFA World Cup Golden Boot is the award given to the tournament's top goal scorer.
-
C.
MLS Golden Boot
The MLS Golden Boot is Major League Soccer’s annual award given to the league’s top goal scorer in the regular season.
-
D.
Golden Boot
The Golden Boot is a football award given to the top goal scorer at major tournaments, including the FIFA Club World Cup.
-
E.
Ballon d'Or
The Ballon d'Or is an annual football award presented by France Football magazine to the player judged to have been the best in the world over the previous year.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6af3890408190a0edf2f813b93196 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44154a08190b031bb74624fba1e |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.