Triple
T32192450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talky Tina doll |
E822292
|
entity |
| Predicate | threatTargetRelationship |
P114506
|
FINISHED |
| Object | stepfather of owner |
—
|
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: stepfather of owner | Statement: [Talky Tina doll, threatTargetRelationship, stepfather of owner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatTargetRelationship Context triple: [Talky Tina doll, threatTargetRelationship, stepfather of owner]
-
A.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
-
B.
targetOfThreat
chosen
Indicates that one entity is the recipient or intended victim of a threat made by another entity.
-
C.
threatTypeAddressed
Indicates that a given action, measure, or entity is specifically intended to counter or mitigate a particular type of threat.
-
D.
threatCategory
Indicates the classification of a threat according to its type, severity, or nature within a defined risk or security framework.
-
E.
threatContext
Indicates the situational conditions, factors, or environment in which a threat occurs or is relevant.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bbbef7a88190b0affdec1d41c1e0 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:35 a.m.