Triple
T28870640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butch Jones |
E732130
|
entity |
| Predicate | roleAtAlabama |
P169290
|
FINISHED |
| Object | offensive 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: offensive analyst | Statement: [Butch Jones, roleAtAlabama, offensive analyst]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtAlabama Context triple: [Butch Jones, roleAtAlabama, offensive analyst]
-
A.
roleAtWashingtonState
Indicates that an entity holds or held a specific role or position at Washington State.
-
B.
roleAtHouston
Indicates that an entity holds or held a specific role or position at an organization, institution, or context associated with Houston.
-
C.
roleAtOklahomaState
Indicates that an entity holds or held a specific role or position at Oklahoma State University.
-
D.
roleAtVirginia
Indicates that an entity holds or held a specific role or position at an institution or organization in Virginia.
-
E.
roleAtWestVirginia
Indicates that an entity holds or held a specific role or position at West Virginia (such as an institution, organization, or location associated with that name).
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 28, 2026, 7:32 a.m.