Triple
T33636458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cullen Post |
E861709
|
entity |
| Predicate | countryOfLegalPractice |
P2755
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Cullen Post, countryOfLegalPractice, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfLegalPractice Context triple: [Cullen Post, countryOfLegalPractice, United States]
-
A.
countryOfJurisdiction
Indicates the country whose legal authority or jurisdiction governs or applies to a given entity, action, or arrangement.
-
B.
countryJurisdiction
Indicates that one country has legal authority, control, or governing power over a specified territory, entity, or matter.
-
C.
countryOfProsecution
Indicates the country in which legal prosecution of an entity or case takes place.
-
D.
countryOfStanding
Indicates the country in which an entity holds legal, official, or recognized standing or status.
-
E.
practicedLawIn
chosen
Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00c486d394819084fe93d5bb11ea1e |
completed | May 10, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_6a00c39d99d48190a94bfa057213499c |
completed | May 10, 2026, 5:42 p.m. |
Created at: May 1, 2026, 1:42 a.m.