Triple
T20851477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Thomas |
E513373
|
entity |
| Predicate | worldChampionshipsBronzeMedal |
P15199
|
FINISHED |
| Object | 1979 parallel bars |
—
|
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: 1979 parallel bars | Statement: [Kurt Thomas, worldChampionshipsBronzeMedal, 1979 parallel bars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipsBronzeMedal Context triple: [Kurt Thomas, worldChampionshipsBronzeMedal, 1979 parallel bars]
-
A.
worldChampionshipBronzeMedals
chosen
Indicates the number of bronze medals an entity has earned at world championship competitions.
-
B.
EuropeanChampionshipBronzeMedals
Indicates that an entity has won one or more bronze medals at a European Championship competition.
-
C.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
-
D.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
-
E.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
- F. None of above.
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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a3d8808190b8efce77ae36850e |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:43 p.m.