Triple
T11476715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa América |
E272040
|
entity |
| Predicate | awards |
P11
|
FINISHED |
| Object | Golden Boot |
E23676
|
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 | Statement: [Copa América, awards, Golden Boot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Boot Context triple: [Copa América, awards, Golden Boot]
-
A.
Golden Boot
chosen
The Golden Boot is a football award given to the top goal scorer at major tournaments, including the FIFA Club World Cup.
-
B.
Golden Boot Award
The Golden Boot Award is an honor recognizing significant contributions to the Western genre in film and television, often awarded to actors, directors, and other industry figures.
-
C.
Golden Boot Award
The Golden Boot Award is an international rugby league honor presented annually to the player judged to be the best in the world.
-
D.
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.
-
E.
Premier League Golden Boot
The Premier League Golden Boot is an annual award given to the top goal scorer in a Premier League season.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294e0fe08190b018e840146e27ca |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e965eebc8190822247b1abc13483 |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:36 p.m.