Triple
T9503305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine Vole |
E229196
|
entity |
| Predicate | keyThemeRelation |
P64673
|
FINISHED |
| Object | deception |
—
|
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: deception | Statement: [Christine Vole, keyThemeRelation, deception]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyThemeRelation Context triple: [Christine Vole, keyThemeRelation, deception]
-
A.
keyThemeIn
chosen
Indicates that a particular theme is a central or primary thematic focus within a given work, context, or subject.
-
B.
keyRelation
Indicates a functional or defining association where one entity serves as a key or primary reference for accessing, identifying, or organizing another entity.
-
C.
primaryThemeAssociation
Indicates that one entity is the main or central theme associated with another entity.
-
D.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
E.
titleRelation
Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9840148081908df237f212b62e67 |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:57 p.m.