Triple
T19931395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdeacon of Northolt |
E479061
|
entity |
| Predicate | hasDisciplinaryRole |
P128153
|
FINISHED |
| Object | assisting the bishop in clergy discipline matters |
—
|
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: assisting the bishop in clergy discipline matters | Statement: [Archdeacon of Northolt, hasDisciplinaryRole, assisting the bishop in clergy discipline matters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisciplinaryRole Context triple: [Archdeacon of Northolt, hasDisciplinaryRole, assisting the bishop in clergy discipline matters]
-
A.
hasDisciplineRole
chosen
Indicates that an entity holds a specific role or function within a particular discipline or field.
-
B.
hasDisciplinaryApproach
Indicates that an entity employs, follows, or is characterized by a particular disciplinary method, framework, or approach.
-
C.
hasDisciplinaryBody
Indicates that an entity is overseen, regulated, or governed by a specific disciplinary or regulatory body.
-
D.
hasDisciplineSystem
Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
-
E.
hasDisplayDiscipline
Indicates that an entity is associated with a particular academic or professional discipline in which its content is displayed or categorized.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a13ebc08190a583aa4c5e9f6648 |
completed | April 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.