Triple
T17861168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Oliva |
E446073
|
entity |
| Predicate | SergioOlivaJrOccupation |
P129043
|
FINISHED |
| Object | bodybuilder |
—
|
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: bodybuilder | Statement: [Sergio Oliva, SergioOlivaJrOccupation, bodybuilder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SergioOlivaJrOccupation Context triple: [Sergio Oliva, SergioOlivaJrOccupation, bodybuilder]
-
A.
roleOfOllieWilliams
Indicates the specific role, function, or capacity that Ollie Williams holds or performs in relation to another entity or context.
-
B.
roleOfSergioPizzorno
Indicates that an entity holds the role or function associated with Sergio Pizzorno in relation to another entity or context.
-
C.
Jorge Garbajosa_position
Indicates the playing position or role that Jorge Garbajosa occupies in his sport.
-
D.
Antonio Tarver Jr. occupation
Indicates that a specified occupation is the job or professional role held by Antonio Tarver Jr.
-
E.
roleOfGustavoGimeno
Indicates that the specified role or position is held or performed by Gustavo Gimeno.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:17 a.m.