Triple
T13236687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Wars (Strategic Defense Initiative) |
E315163
|
entity |
| Predicate | perceivedThreat |
P108659
|
FINISHED |
| Object | Soviet Union strategic nuclear forces |
—
|
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: Soviet Union strategic nuclear forces | Statement: [Star Wars (Strategic Defense Initiative), perceivedThreat, Soviet Union strategic nuclear forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivedThreat Context triple: [Star Wars (Strategic Defense Initiative), perceivedThreat, Soviet Union strategic nuclear forces]
-
A.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
-
B.
threatDisplay
Indicates a behavior or signal by one entity intended to warn, intimidate, or deter another entity without immediate physical attack.
-
C.
threatenedResponse
Indicates that one entity performs or communicates a response as a result of being threatened by another entity or situation.
-
D.
threatenedBy
Indicates that one entity poses a danger or potential harm to another entity.
-
E.
threat
Indicates a relationship where one entity expresses or poses potential harm, danger, or negative consequences toward another entity.
- F. None of above. chosen
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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:22 p.m.