Triple
T22717136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA 100 list |
E561764
|
entity |
| Predicate | compiler |
P3924
|
FINISHED |
| Object | Pelé |
—
|
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: Pelé | Statement: [FIFA 100 list, compiler, Pelé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelé Context triple: [FIFA 100 list, compiler, Pelé]
-
A.
Pelé
chosen
Pelé was a legendary Brazilian footballer widely regarded as one of the greatest players in the history of the sport.
-
B.
Pele
Pele is the Hawaiian goddess of volcanoes and fire, revered as the powerful creator and destroyer of land in Hawaiian mythology.
-
C.
Garrincha
Garrincha was a legendary Brazilian right winger, renowned for his extraordinary dribbling skills and key role in Brazil’s World Cup victories in 1958 and 1962.
-
D.
Jairzinho
Jairzinho is a legendary Brazilian footballer, best known as a dynamic right winger for Brazil’s 1970 World Cup–winning team and a star of Botafogo.
-
E.
Mário Zagallo
Mário Zagallo was a legendary Brazilian football player and manager, renowned for winning multiple FIFA World Cups both on the field and from the sidelines.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790e14c88190af6acb27910ae9c1 |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:19 p.m.