Triple
T36946660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyson Gay |
E913929
|
entity |
| Predicate | relayMedalStripped |
P186766
|
FINISHED |
| Object | 2012 Olympic 4 × 100 metres relay silver medal |
—
|
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: 2012 Olympic 4 × 100 metres relay silver medal | Statement: [Tyson Gay, relayMedalStripped, 2012 Olympic 4 × 100 metres relay silver medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relayMedalStripped Context triple: [Tyson Gay, relayMedalStripped, 2012 Olympic 4 × 100 metres relay silver medal]
-
A.
relatedMedal
Indicates a relationship where one entity is associated with, corresponds to, or is linked to a particular medal (such as an award, honor, or decoration).
-
B.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
C.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
-
D.
medalIssued
Indicates that a medal has been formally awarded or granted to an entity, typically in recognition of an achievement or service.
-
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. 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:13 p.m.