Triple
T11499627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CONCACAF Gold Cup Golden Boot |
E272629
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
Zague
Zague is a former Brazilian-Mexican footballer and prolific forward best known for his goal-scoring exploits with Club América and the Mexican national team in the 1990s.
|
E929316
|
NE FINISHED |
How this triple was built (4 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: Zague | Statement: [CONCACAF Gold Cup Golden Boot, notableWinner, Zague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zague Context triple: [CONCACAF Gold Cup Golden Boot, notableWinner, Zague]
-
A.
Guzan
Guzan is the surname of American professional soccer goalkeeper Brad Guzan, known for his career in Major League Soccer and the U.S. national team.
-
B.
Zito
Zito is a surname most notably associated with Barry Zito, a former Major League Baseball pitcher and Cy Young Award winner.
-
C.
Goleto
Goleto is a historic monastic site in southern Italy, known for its medieval abbey founded in the 12th century.
-
D.
Zeca
Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
-
E.
Muhriz
Muhriz is the given name of Tuanku Muhriz, the reigning Yang di-Pertuan Besar (ruler) of the Malaysian state of Negeri Sembilan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zague Triple: [CONCACAF Gold Cup Golden Boot, notableWinner, Zague]
Generated description
Zague is a former Brazilian-Mexican footballer and prolific forward best known for his goal-scoring exploits with Club América and the Mexican national team in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zague Target entity description: Zague is a former Brazilian-Mexican footballer and prolific forward best known for his goal-scoring exploits with Club América and the Mexican national team in the 1990s.
-
A.
Guzan
Guzan is the surname of American professional soccer goalkeeper Brad Guzan, known for his career in Major League Soccer and the U.S. national team.
-
B.
Zito
Zito is a surname most notably associated with Barry Zito, a former Major League Baseball pitcher and Cy Young Award winner.
-
C.
Goleto
Goleto is a historic monastic site in southern Italy, known for its medieval abbey founded in the 12th century.
-
D.
Zeca
Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
-
E.
Muhriz
Muhriz is the given name of Tuanku Muhriz, the reigning Yang di-Pertuan Besar (ruler) of the Malaysian state of Negeri Sembilan.
- F. None of above. chosen
Provenance (5 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de3e9c881909d6c55334f7a832d |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604aa9e3c8190ad86e4d05a67c8ac |
completed | April 20, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e610a82c308190927158dbd566b0d4 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e61853a3b48190b0d132761e9be69c |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.