Triple
T22337637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil national futsal team |
E552191
|
entity |
| Predicate | hasNotablePlayer |
P9730
|
FINISHED |
| Object | Serginho |
—
|
NE NERFINISHED |
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: Serginho | Statement: [Brazil national futsal team, hasNotablePlayer, Serginho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serginho Context triple: [Brazil national futsal team, hasNotablePlayer, Serginho]
-
A.
Sérgio
chosen
Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
-
B.
Rogério
Rogério is a Brazilian former professional footballer best known as a legendary São Paulo FC goalkeeper and prolific goal-scorer, later becoming a football manager.
-
C.
Edvaldo
Edvaldo is the given first name of the Brazilian footballer widely known by his nickname Vavá.
-
D.
Fabrício
Fabrício is the given name of Fabrício Werdum, a Brazilian mixed martial artist and former UFC heavyweight champion.
-
E.
Sílvio
Sílvio is a masculine given name of Portuguese origin, commonly used in Portuguese-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157804e60819094e2a903ace6f4b2 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.