Triple
T4016004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Ogilvy |
E90759
|
entity |
| Predicate | cousinRelationship |
P1999
|
FINISHED |
| Object | first cousin once removed of King Charles III |
—
|
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: first cousin once removed of King Charles III | Statement: [James Ogilvy, cousinRelationship, first cousin once removed of King Charles III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cousinRelationship Context triple: [James Ogilvy, cousinRelationship, first cousin once removed of King Charles III]
-
A.
cousin
chosen
Indicates a familial relationship where two people share at least one grandparent but are not siblings.
-
B.
isNephewOf
Indicates that one person is the male child of another person's sibling.
-
C.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
D.
closestLivingRelatives
Indicates that the related entities are the most closely related to each other among all currently living entities, in terms of evolutionary or genealogical proximity.
-
E.
moreDistantlyRelatedTo
Indicates that one entity is related to another by a more distant or indirect relationship compared to some closer reference relationship.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.