Triple
T16461533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailey |
E399816
|
entity |
| Predicate | associatedWithLegalOffice |
P19057
|
FINISHED |
| Object | bailiff of a court |
—
|
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: bailiff of a court | Statement: [Bailey, associatedWithLegalOffice, bailiff of a court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLegalOffice Context triple: [Bailey, associatedWithLegalOffice, bailiff of a court]
-
A.
associatedWithCourt
Indicates a relationship in which an entity is linked or connected to a specific court, such as through jurisdiction, affiliation, or involvement in legal proceedings.
-
B.
lawPartnerOf
Indicates a professional relationship in which two individuals are partners in the same law firm or legal practice.
-
C.
hasAssociatedOffice
chosen
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
-
D.
associatedWithJurisdiction
Indicates that an entity has a formal or relevant connection to a particular legal or administrative jurisdiction.
-
E.
associatedWithPractice
Indicates a relationship in which an entity is connected or linked to a particular practice, activity, or customary way of doing something.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d819d548190bc76a0ec2e223437 |
completed | April 18, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.