Triple
T23322614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohei Uchimura |
E591193
|
entity |
| Predicate | OlympicAllAroundTitles |
P151869
|
FINISHED |
| Object | 2 consecutive (2012, 2016) |
—
|
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: 2 consecutive (2012, 2016) | Statement: [Kohei Uchimura, OlympicAllAroundTitles, 2 consecutive (2012, 2016)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicAllAroundTitles Context triple: [Kohei Uchimura, OlympicAllAroundTitles, 2 consecutive (2012, 2016)]
-
A.
EuropeanAllroundTitles
Indicates that an entity has won European Allround Championship titles in a given sport or discipline.
-
B.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
C.
WorldAllroundChampion
Indicates that an entity holds the title of world all-round champion, having achieved the best overall performance across multiple disciplines or events at the global level.
-
D.
totalOlympicMedals
Indicates the total number of Olympic medals an entity has earned across all Games and events.
-
E.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978672148190bb90804361bb896b |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:07 p.m.