Triple
T19317523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regius Professor of Divinity at the University of Cambridge |
E483136
|
entity |
| Predicate | hasNotableHolders |
P135571
|
FINISHED |
| Object | theologians |
—
|
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: theologians | Statement: [Regius Professor of Divinity at the University of Cambridge, hasNotableHolders, theologians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableHolders Context triple: [Regius Professor of Divinity at the University of Cambridge, hasNotableHolders, theologians]
-
A.
typicalNumberOfHolders
Indicates the usual or expected number of entities that hold or possess a given item, role, or resource.
-
B.
mostNotableHolder
Indicates that one entity is the most prominent or distinguished bearer or possessor of another entity (such as a title, record, or role) compared to all other holders.
-
C.
totalNumberOfHolders
Indicates the total count of distinct entities that hold or possess a given asset, item, or resource.
-
D.
sharesHeldBy
Indicates that a specified number or portion of shares is owned or held by a particular entity.
-
E.
eligibleHolders
Indicates which entities are permitted or qualified to hold or possess a given item, right, or role.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d85046c81909d972a6b369b0c2b |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4e4709d4481908c280cdd2ac18977 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 1:32 p.m.