Triple
T10103068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didi |
E216248
|
entity |
| Predicate | playedWith |
P7956
|
FINISHED |
| Object | Vavá |
E266877
|
NE FINISHED |
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: Vavá | Statement: [Didi, playedWith, Vavá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vavá Context triple: [Didi, playedWith, Vavá]
-
A.
Vavá
chosen
Vavá was a prolific Brazilian striker renowned for scoring in two consecutive World Cup finals and helping Brazil win the 1958 and 1962 tournaments.
-
B.
Vovo
Vovo is a language spoken in close geographic and linguistic proximity to the Nese language.
-
C.
Bebeto
Bebeto is a retired Brazilian footballer and prolific striker best known for his successful international career with Brazil, including winning the 1994 FIFA World Cup.
-
D.
Zaza
Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
-
E.
Nené
Nené is a former Brazilian footballer best known as a prolific forward for S.L. Benfica during the 1970s and 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09af07c819099774af46ebf62d7 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6dcca848190851f6f1968fe244c |
completed | April 5, 2026, 7:24 p.m. |
Created at: March 30, 2026, 9:02 p.m.