Triple
T26532547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Paxton |
E670855
|
entity |
| Predicate | legalStatusOfProfession |
P39432
|
FINISHED |
| Object | licensed attorney (Texas) |
—
|
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: licensed attorney (Texas) | Statement: [Ken Paxton, legalStatusOfProfession, licensed attorney (Texas)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfProfession Context triple: [Ken Paxton, legalStatusOfProfession, licensed attorney (Texas)]
-
A.
legalStatusOfWork
Indicates the legal classification or protection status that applies to a particular work (e.g., copyrighted, public domain, licensed).
-
B.
legalProfessionType
Indicates the specific category or type of legal profession associated with an entity (such as lawyer, judge, or notary).
-
C.
legalProfessionIncludes
Indicates that a legal profession or role encompasses, involves, or includes another specified legal function, specialization, or activity.
-
D.
legalProfessionTypeRegulated
Indicates that the specified type of legal profession is subject to formal regulation or oversight by an authority.
-
E.
hasRegulatedProfession
chosen
Indicates that an entity practices or is associated with a profession that is formally regulated by laws, standards, or licensing authorities.
- F. None of above.
Provenance (3 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 27, 2026, 1:36 a.m.