Triple
T30571514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jairzinho |
E778131
|
entity |
| Predicate | nicknameInPortuguese |
P170241
|
FINISHED |
| Object | Furacão da Copa |
—
|
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: Furacão da Copa | Statement: [Jairzinho, nicknameInPortuguese, Furacão da Copa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameInPortuguese Context triple: [Jairzinho, nicknameInPortuguese, Furacão da Copa]
-
A.
nameInPortuguese
Indicates that an entity is referred to by a specific name when expressed in the Portuguese language.
-
B.
nameInBrazil
Indicates that an entity is known or referred to by a particular name specifically in the context of Brazil.
-
C.
usedAsCharacterNameInBrazil
Indicates that a name is specifically used as a character name in Brazilian media or cultural contexts.
-
D.
hasOfficialNameInPortuguese
Indicates that an entity has an official name expressed in the Portuguese language.
-
E.
translationOfNickname
Indicates that one name is a translated form of another name that functions as a nickname.
- F. None of above. chosen
Provenance (4 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 8:22 p.m.