Triple
T32508642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore Winter |
E830869
|
entity |
| Predicate | associatedWithOrganizationInPlot |
P177511
|
FINISHED |
| Object | CIA Russia Division |
E1564785
|
NE 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: CIA Russia Division | Statement: [Theodore Winter, associatedWithOrganizationInPlot, CIA Russia Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithOrganizationInPlot Context triple: [Theodore Winter, associatedWithOrganizationInPlot, CIA Russia Division]
-
A.
hasOrganizationInPlot
chosen
Indicates that an organization appears or plays a role within the narrative plot of a work.
-
B.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
C.
isKeyToPlotOf
Indicates that something plays a crucial, defining role in driving or enabling the main events or structure of a plot.
-
D.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
E.
appearsInOrganization
Indicates that an entity is present, featured, or participates within a particular organization.
- F. None of above.
Provenance (4 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34706038d88190b4383169e8718386 |
completed | June 18, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1 a.m.