Triple
T18419157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronnie Coleman |
E441974
|
entity |
| Predicate | MrOlympiaWinningYears |
P129042
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Ronnie Coleman, MrOlympiaWinningYears, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MrOlympiaWinningYears Context triple: [Ronnie Coleman, MrOlympiaWinningYears, 1998]
-
A.
MrOlympiaChampionYear
chosen
Indicates that the subject is the winner of the Mr. Olympia bodybuilding competition in the specified year.
-
B.
numberOfMrOlympiaTitles
Indicates the number of Mr. Olympia bodybuilding titles that an individual has won.
-
C.
WorldChampionshipGoldMedalYear
Indicates the specific year in which an entity won a gold medal at a world championship event.
-
D.
wonOlympicGoldYear
Indicates that an entity won an Olympic gold medal in the specified year.
-
E.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2a0fb08190b409ed200a9d86a6 |
completed | April 19, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:47 a.m.