Triple
T36852456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Winter |
E910707
|
entity |
| Predicate | includesEspionage |
P124116
|
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: [Cold Winter, includesEspionage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesEspionage Context triple: [Cold Winter, includesEspionage, true]
-
A.
involvesEspionage
chosen
Indicates that the relationship or action includes spying, covert information gathering, or other secret intelligence activities.
-
B.
espionageRole
Indicates that one entity holds a specific role, function, or capacity within an espionage or intelligence-gathering activity involving another entity.
-
C.
countryOfEspionageActivity
Indicates the country within whose territory or jurisdiction the espionage activity takes place.
-
D.
intelligenceAgencyOpposed
Indicates that an intelligence agency actively resists, obstructs, or works against a particular actor, policy, operation, or objective.
-
E.
intelligenceAgencyInvolved
Indicates that an intelligence agency participates in, influences, or is otherwise involved in the referenced event, operation, or relationship.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.