Triple
T2765732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Van Mildert |
E61331
|
entity |
| Predicate | wasLastHolderOf |
P3710
|
FINISHED |
| Object | temporal powers of the Prince-Bishops of Durham |
—
|
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: temporal powers of the Prince-Bishops of Durham | Statement: [William Van Mildert, wasLastHolderOf, temporal powers of the Prince-Bishops of Durham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasLastHolderOf Context triple: [William Van Mildert, wasLastHolderOf, temporal powers of the Prince-Bishops of Durham]
-
A.
lastHolder
chosen
Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
-
B.
lastHeldIn
Indicates that an event or state most recently took place or was hosted in a particular location or context.
-
C.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
-
D.
isUsuallyHeldBy
Indicates that something is most commonly or typically possessed, carried, or controlled by a particular entity.
-
E.
heldTitleUntil
Indicates that an entity possessed or held a specific title or position continuously up to a particular end date or point in time.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.