Triple
T37294600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Stafford, 4th Earl of Stafford |
E925762
|
entity |
| Predicate | spouseIsQueenConsortOf |
P197838
|
FINISHED |
| Object | Edward IV of England |
—
|
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: Edward IV of England | Statement: [Henry Stafford, 4th Earl of Stafford, spouseIsQueenConsortOf, Edward IV of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseIsQueenConsortOf Context triple: [Henry Stafford, 4th Earl of Stafford, spouseIsQueenConsortOf, Edward IV of England]
-
A.
spouseIsMonarchOf
Indicates that a person's spouse holds the position of monarch (ruler) of a specified country or territory.
-
B.
typeOfMonarchConsort
Indicates the specific kind or category of monarch’s spouse (consort) that an entity is, such as queen consort, prince consort, or empress consort.
-
C.
monarchOfWhomConsort
Indicates that a person is the monarch (king/queen/ruler) of another person who is their consort (spouse).
-
D.
spouseOfRoyalHouse
Indicates that one entity is the spouse or consort of a member of a royal house.
-
E.
spouseOfHeirToThrone
Indicates that one person is the married partner of an individual who is the heir to a throne.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69feafa1ba0081909013800b85a9f613 |
completed | May 9, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69feae58d62c81909d031f3df8992883 |
completed | May 9, 2026, 3:47 a.m. |
| PDg | Predicate description generation | batch_69feafa0acd881908bb6c01635b5537a |
completed | May 9, 2026, 3:53 a.m. |
Created at: May 3, 2026, 4:16 p.m.