Triple
T31100819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crimebusters (proposed team) |
E792666
|
entity |
| Predicate | primaryThreatDiscussed |
P57423
|
FINISHED |
| Object | escalating global tensions and potential nuclear war |
—
|
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: escalating global tensions and potential nuclear war | Statement: [The Crimebusters (proposed team), primaryThreatDiscussed, escalating global tensions and potential nuclear war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryThreatDiscussed Context triple: [The Crimebusters (proposed team), primaryThreatDiscussed, escalating global tensions and potential nuclear war]
-
A.
primaryThreat
Indicates that one entity is the main or most significant source of danger, harm, or risk to another entity.
-
B.
primaryIssue
chosen
Indicates that the related item is the main or most important issue among a set of issues.
-
C.
primaryAdversaryConcern
Indicates that an entity’s main adversary is particularly focused on or preoccupied with that entity.
-
D.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
-
E.
threatsFaced
Indicates that an entity is exposed to or experiences specific dangers, risks, or harmful conditions.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:03 p.m.