Triple
T18419171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronnie Coleman |
E441974
|
entity |
| Predicate | turnedProfessionalInBodybuilding |
P131536
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [Ronnie Coleman, turnedProfessionalInBodybuilding, 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnedProfessionalInBodybuilding Context triple: [Ronnie Coleman, turnedProfessionalInBodybuilding, 1991]
-
A.
beganBodybuilding
Indicates that an entity started engaging in bodybuilding as a new activity or practice.
-
B.
turnedProfessionalInSnowboardingAtAge
Indicates the age at which an individual first became a professional in the sport of snowboarding.
-
C.
formerAthlete
Indicates that a person previously had the role or status of an athlete but no longer does.
-
D.
bodyTransformedInto
Indicates that one entity’s physical form is changed or converted into another specified form or entity.
-
E.
physicallyConditionedAs
Indicates that one entity has been brought into or exists in a particular physical state or condition as specified by another entity or descriptor.
- 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_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. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 10:47 a.m.