Triple
T35805192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JBL |
E1035084
|
entity |
| Predicate | occupationOutsideWrestling |
P184119
|
FINISHED |
| Object | financial analyst |
—
|
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: financial analyst | Statement: [JBL, occupationOutsideWrestling, financial analyst]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationOutsideWrestling Context triple: [JBL, occupationOutsideWrestling, financial analyst]
-
A.
wrestlingRetirement
Indicates that an individual has ended or formally withdrawn from participating in professional wrestling competition.
-
B.
preWrestlingOccupation
Indicates the occupation or job a person held before becoming a professional wrestler.
-
C.
trainedWrestlersOn
Indicates that one entity has trained wrestlers on or for another entity, such as a team, organization, or event.
-
D.
wrestledWith
Indicates that one entity engaged in a physical wrestling contest or struggle with another entity.
-
E.
hasProfessionOutsideFootball
Indicates that a person involved in football also holds a separate professional occupation outside of football.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.