Triple
T35304031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Hallam |
E1019583
|
entity |
| Predicate | Ralph Heskett_startOfOffice |
P182715
|
FINISHED |
| Object | 2014-07-10 |
—
|
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: 2014-07-10 | Statement: [Roman Catholic Diocese of Hallam, Ralph Heskett_startOfOffice, 2014-07-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Ralph Heskett_startOfOffice Context triple: [Roman Catholic Diocese of Hallam, Ralph Heskett_startOfOffice, 2014-07-10]
-
A.
firstOfficeHolderStart
Indicates the date or time when the first person to hold a particular office or position began their term.
-
B.
secondOfficeholderStart
Indicates the date or point in time when the second person to hold a particular office or position began their term.
-
C.
headOfGovernmentStart
Indicates the date or point in time when an individual begins serving as the head of government of a political entity.
-
D.
firstCivilianOfficeHolder
Indicates that the subject is the first person from a civilian (non-military) background to hold a particular office or position.
-
E.
Jack Hively
Indicates a relationship or action involving the person named Jack Hively, such as authorship, direction, or participation in a work or event.
- F. None of above. chosen
Provenance (4 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904d95b48190b98dca59dbb592d8 |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.