Triple
T24414681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Thompson |
E615550
|
entity |
| Predicate | PanAmericanGamesMedal |
P155835
|
FINISHED |
| Object | gold medal |
—
|
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: gold medal | Statement: [Tina Thompson, PanAmericanGamesMedal, gold medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PanAmericanGamesMedal Context triple: [Tina Thompson, PanAmericanGamesMedal, gold medal]
-
A.
panAmericanGames
Indicates that an entity is associated with, participates in, or is otherwise related to the Pan American Games multi-sport event.
-
B.
PanAmericanGamesGoldYear
Indicates the year in which an entity won a gold medal at the Pan American Games.
-
C.
panAmericanGamesTitles
Indicates the number of titles or championships an entity has won at the Pan American Games.
-
D.
centralAmericanAndCaribbeanGamesGoldMedal
Indicates that the subject has won a gold medal at the Central American and Caribbean Games.
-
E.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29583c2688190af3bc5d02eb9a3d9 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:12 a.m.