Triple
T34061501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dell Toledo |
E873502
|
entity |
| Predicate | hasComplexFamilyRelationships |
P92492
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dell Toledo, hasComplexFamilyRelationships, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComplexFamilyRelationships Context triple: [Dell Toledo, hasComplexFamilyRelationships, true]
-
A.
hasComplicatedRelationshipWith
Indicates that one entity is involved in a complex, often ambiguous or difficult-to-define interpersonal or relational dynamic with another entity.
-
B.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
C.
hasNotableFamilyMembers
Indicates that an entity is related to one or more family members who are considered notable or significant in some context.
-
D.
hasFamilyRelationContext
Indicates that there exists a family-based relationship or kinship context connecting the referenced entities.
-
E.
hasFamilySituation
chosen
Indicates the familial status or circumstances that apply to an entity, such as their family composition, responsibilities, or living situation.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:52 a.m.