Triple
T25711288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Peterborough |
E644736
|
entity |
| Predicate | titleStyleOfWifeOfHolder |
P172323
|
FINISHED |
| Object | Countess of Peterborough |
—
|
NE NERFINISHED |
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: Countess of Peterborough | Statement: [Earl of Peterborough, titleStyleOfWifeOfHolder, Countess of Peterborough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleStyleOfWifeOfHolder Context triple: [Earl of Peterborough, titleStyleOfWifeOfHolder, Countess of Peterborough]
-
A.
titleHolderStyle
Indicates the manner or format in which a title holder’s status or designation is presented or styled in relation to another entity.
-
B.
titleHolderSpouseInstanceOf
Indicates that the spouse of a title holder is an instance of a specified role, status, or class related to that title.
-
C.
currentTitleHolderSpouseOf
Indicates that one entity is the current spouse of the individual who presently holds a specified title.
-
D.
titleHolderMother
Indicates that the subject is the mother of the current or specified holder of a particular title.
-
E.
titleHeldByFamily
Indicates that a particular title, rank, or honor is held collectively or traditionally by a specific family or family line.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 21, 2026, 9:14 p.m.