Triple
T18336093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Rhoden |
E439272
|
entity |
| Predicate | beganBodybuilding |
P131420
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Shawn Rhoden, beganBodybuilding, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganBodybuilding Context triple: [Shawn Rhoden, beganBodybuilding, 1990s]
-
A.
began
Indicates that one entity initiated or started an action, event, or state involving another entity or context.
-
B.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
-
C.
beganCompetition
Indicates that an entity initiated or started participating in a competitive event or contest involving others.
-
D.
beganUnderCoach
Indicates that one entity started its activity, career, or involvement while being coached or supervised by another entity.
-
E.
beganInPractice
Indicates that an activity, role, or process was initiated or first started during a practice session rather than in a formal or main event.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e4561d665081908ec555344e76d82b |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 10:37 a.m.