Triple
T22885447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nenê |
E567591
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Nenê |
—
|
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: Nenê | Statement: [Nenê, nickname, Nenê]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nenê Context triple: [Nenê, nickname, Nenê]
-
A.
Nenê
chosen
Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
-
B.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
-
C.
Nilsa
Nilsa is a feminine given name of Spanish origin, often used in Latin American countries.
-
D.
Ninna
Ninna was a Japanese era name (nengō) of the Heian period, used during the reign of Emperor Uda.
-
E.
Nenita
Nenita is a village on the Greek island of Chios, known for its traditional mastic cultivation and characteristic island architecture.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc0cdb081908107d40069d9735f |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.