Triple
T5984519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Johnson 100 metres disqualification |
E133193
|
entity |
| Predicate | originalWinningTime |
P67739
|
FINISHED |
| Object | 9.79 seconds |
—
|
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: 9.79 seconds | Statement: [Ben Johnson 100 metres disqualification, originalWinningTime, 9.79 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWinningTime Context triple: [Ben Johnson 100 metres disqualification, originalWinningTime, 9.79 seconds]
-
A.
firstRunningWinner
Indicates that the subject is the first entity to win among those participating in a running event or race.
-
B.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
C.
lastWinner
Indicates that one entity is the most recent winner in a sequence of competitions, contests, or events involving the other entity.
-
D.
termStartOfWinner
Indicates the starting date or point in time of the winner’s term in a given role or position.
-
E.
winnerRight
Indicates that the referenced entity is the winner on the right side or right position in a competitive or comparative context.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6c4f2481909cdcf931331b3595 |
completed | March 22, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04a663a4481908983048c69cba6b6 |
completed | March 22, 2026, 8 p.m. |
Created at: March 22, 2026, 4:04 p.m.