Triple
T30361767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Glendinning |
E772306
|
entity |
| Predicate | familyRelationTypeToHalbert Glendinning |
P94755
|
FINISHED |
| Object | brother |
—
|
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: brother | Statement: [Edward Glendinning, familyRelationTypeToHalbert Glendinning, brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyRelationTypeToHalbert Glendinning Context triple: [Edward Glendinning, familyRelationTypeToHalbert Glendinning, brother]
-
A.
heraldicRelationship
Indicates a relationship between entities expressed through heraldic symbolism, such as coats of arms, crests, or heraldic devices.
-
B.
politicalRelationship
Indicates a relationship in which entities are connected through political roles, alliances, affiliations, or interactions within a political context.
-
C.
ageRelation
Indicates a relationship that specifies or compares the ages of entities, such as one being older, younger, or of the same age as another.
-
D.
relationshipToRelative
chosen
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
E.
familyAssociationWith
Indicates a familial relationship or connection exists between the referenced entities.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 29, 2026, 7:58 p.m.