Triple
T25522609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris Bennett |
E639691
|
entity |
| Predicate | parentRelationshipType |
P136549
|
FINISHED |
| Object | daughter of Leo Bennett |
—
|
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: daughter of Leo Bennett | Statement: [Iris Bennett, parentRelationshipType, daughter of Leo Bennett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentRelationshipType Context triple: [Iris Bennett, parentRelationshipType, daughter of Leo Bennett]
-
A.
parentRelationship
Indicates a familial relationship in which one entity is the parent of another entity.
-
B.
relationshipToParents
chosen
Indicates the type or nature of a person's familial relationship to their parents.
-
C.
parentType
Indicates that one entity serves as the direct parent or higher-level type from which another entity is derived or classified.
-
D.
relationshipToChildren
Indicates the type of familial or social connection an entity has to one or more children.
-
E.
relationshipType
Indicates the specific kind of relationship that exists between two or more 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 21, 2026, 3:01 p.m.