Triple
T28139151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | César Cielo |
E714292
|
entity |
| Predicate | PanAmericanGamesGoldMedalist |
P164066
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [César Cielo, PanAmericanGamesGoldMedalist, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PanAmericanGamesGoldMedalist Context triple: [César Cielo, PanAmericanGamesGoldMedalist, yes]
-
A.
PanAmericanGamesMedal
Indicates that an entity has been awarded a medal in a Pan American Games event.
-
B.
panAmericanGames
Indicates that an entity is associated with, participates in, or is otherwise related to the Pan American Games multi-sport event.
-
C.
PanAmericanGamesGoldYear
Indicates the year in which an entity won a gold medal at the Pan American Games.
-
D.
OlympicGoldMedalistFor
Indicates that an entity has won a gold medal at the Olympic Games while representing a specified country, team, or organization.
-
E.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 9:52 p.m.