Triple
T22571475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Johnson |
E558083
|
entity |
| Predicate | hadMedalStripped |
P68281
|
FINISHED |
| Object | gold medal in men's 100 metres at the 1988 Seoul Olympics |
—
|
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 in men's 100 metres at the 1988 Seoul Olympics | Statement: [Ben Johnson, hadMedalStripped, gold medal in men's 100 metres at the 1988 Seoul Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMedalStripped Context triple: [Ben Johnson, hadMedalStripped, gold medal in men's 100 metres at the 1988 Seoul Olympics]
-
A.
wasStrippedOfRank
Indicates that an entity had its rank or status removed, typically as a form of punishment or disciplinary action.
-
B.
honorOrAwardRevoked
chosen
Indicates that a previously granted honor or award has been officially withdrawn or cancelled from the recipient.
-
C.
wasBeaten
Indicates that one entity defeated or physically overpowered another in a contest, conflict, or confrontation.
-
D.
hasMedalEquivalent
Indicates that one medal is considered equivalent in value, status, or recognition to another medal.
-
E.
originalMedal
Indicates that a medal is the first or authentic instance awarded, rather than a copy, replacement, or later version.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fae1ed881909430769a0015c39c |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.