Triple
T37294599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Stafford, 4th Earl of Stafford |
E925762
|
entity |
| Predicate | spouseIsSisterOf |
P197815
|
FINISHED |
| Object | Elizabeth Woodville |
—
|
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: Elizabeth Woodville | Statement: [Henry Stafford, 4th Earl of Stafford, spouseIsSisterOf, Elizabeth Woodville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseIsSisterOf Context triple: [Henry Stafford, 4th Earl of Stafford, spouseIsSisterOf, Elizabeth Woodville]
-
A.
spouseIsHalfSisterOf
Indicates that the person’s spouse is also their half-sister, sharing exactly one biological parent with them.
-
B.
spouseOfSiblingOf
Indicates the person who is married to someone’s sibling.
-
C.
motherIsSisterOf
Indicates that the person who is the mother of one individual is also the sister of another individual.
-
D.
hasSisterRelationshipType
Indicates that there exists a sister-type familial relationship between the related entities.
-
E.
spouseInstanceOf
Indicates that one entity is the specific spouse (marriage partner) instance of 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
| PDg | Predicate description generation | batch_69feabcca6148190a8eb7b6fa33729c7 |
completed | May 9, 2026, 3:36 a.m. |
Created at: May 3, 2026, 4:16 p.m.