Triple
T37520815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of John Sheffield, Duke of Buckingham |
E932766
|
entity |
| Predicate | biographicalSubjectRole |
P175685
|
FINISHED |
| Object | nobleman |
—
|
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: nobleman | Statement: [Life of John Sheffield, Duke of Buckingham, biographicalSubjectRole, nobleman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biographicalSubjectRole Context triple: [Life of John Sheffield, Duke of Buckingham, biographicalSubjectRole, nobleman]
-
A.
hasBiographicalSubjectRole
chosen
Indicates that a role is the biographical subject of a biographical work or account.
-
B.
hasBiographicalSubjectRelationshipWith
Indicates that there exists a biographical relationship or connection between two entities, where one is the subject of biographical information in relation to the other.
-
C.
biographerRelationToSubject
Indicates that one entity is the biographer who has written about the life or experiences of the other entity, who is the subject of that biography.
-
D.
hasBiographicalSubjectOccupation
Indicates that the biographical subject is or was engaged in the specified occupation or profession.
-
E.
isBiographerOf
Indicates that one person has written a biography about another person.
- F. None of above.
Provenance (3 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.