Triple
T24222113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Neville, 1st Earl of Westmorland |
E601486
|
entity |
| Predicate | motherOfManyChildren |
P155247
|
FINISHED |
| Object | Joan Beaufort, Countess of Westmorland |
—
|
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: Joan Beaufort, Countess of Westmorland | Statement: [Ralph Neville, 1st Earl of Westmorland, motherOfManyChildren, Joan Beaufort, Countess of Westmorland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motherOfManyChildren Context triple: [Ralph Neville, 1st Earl of Westmorland, motherOfManyChildren, Joan Beaufort, Countess of Westmorland]
-
A.
motherOfChildrenWith
Indicates that one person is the mother of children they have in common with another person.
-
B.
motherWas
Indicates that one entity was the mother (biological or adoptive) of another entity at some time in the past.
-
C.
motherIs
Indicates that one entity is the mother (biological or adoptive) of another entity.
-
D.
isMotherOf
Indicates that one entity is the female parent who has given birth to or legally/ socially parents the other entity.
-
E.
motherRole
Indicates that one entity holds the role or function of a mother in relation to another entity.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287dc0b388190bcbbf3f7c61e421d |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, midnight