Triple
T23281654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert McClory |
E588877
|
entity |
| Predicate | legal qualification |
P25968
|
FINISHED |
| Object | admitted to the bar in Illinois |
—
|
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: admitted to the bar in Illinois | Statement: [Robert McClory, legal qualification, admitted to the bar in Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legal qualification Context triple: [Robert McClory, legal qualification, admitted to the bar in Illinois]
-
A.
legalBackground
chosen
Indicates that an entity has education, training, or experience related to law or the legal profession.
-
B.
legalAuthorityIn
Indicates that an entity holds official legal power, jurisdiction, or governing authority within a specified area or domain.
-
C.
legalEducationRequiredForPractice
Indicates that a specific type or level of legal education is required as a prerequisite for engaging in legal practice.
-
D.
legalRequirement
Indicates that one entity is obligated by law to perform, provide, or comply with something in relation to another entity or situation.
-
E.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19643b8908190a2c29552b272dc61 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:57 p.m.