Triple
T12163552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santos FC |
E289771
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Zito
Zito was a legendary Brazilian defensive midfielder who starred for Santos FC and the Brazil national team, winning multiple titles including two World Cups in 1958 and 1962.
|
E662658
|
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: Zito | Statement: [Santos FC, notablePlayer, Zito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zito Context triple: [Santos FC, notablePlayer, Zito]
-
A.
Zito
Zito is a surname most notably associated with Barry Zito, a former Major League Baseball pitcher and Cy Young Award winner.
-
B.
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.
-
C.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
D.
Santanna
Santanna is a variant spelling of the Italian surname and place name Sant’Anna, commonly associated with individuals and locations in Italian-speaking regions.
-
E.
Alvito
Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
- 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: Zito Triple: [Santos FC, notablePlayer, Zito]
Generated description
Zito was a legendary Brazilian defensive midfielder who starred for Santos FC and the Brazil national team, winning multiple titles including two World Cups in 1958 and 1962.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zito Target entity description: Zito was a legendary Brazilian defensive midfielder who starred for Santos FC and the Brazil national team, winning multiple titles including two World Cups in 1958 and 1962.
-
A.
Zito
chosen
Zito is a surname most notably associated with Barry Zito, a former Major League Baseball pitcher and Cy Young Award winner.
-
B.
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.
-
C.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
D.
Santanna
Santanna is a variant spelling of the Italian surname and place name Sant’Anna, commonly associated with individuals and locations in Italian-speaking regions.
-
E.
Alvito
Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
- F. None of above.
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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c498a081908389598d0c247505 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a2716081909620a9d11cfcc2d8 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6017f89d88190b766af7828794d87 |
completed | May 2, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6023470248190ae9a96d140b28ac1 |
completed | May 2, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:50 p.m.