Triple
T8679856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaeger Program |
E206008
|
entity |
| Predicate | facesCrisis |
P84450
|
FINISHED |
| Object | funding cuts as Kaiju attacks decrease |
—
|
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: funding cuts as Kaiju attacks decrease | Statement: [Jaeger Program, facesCrisis, funding cuts as Kaiju attacks decrease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facesCrisis Context triple: [Jaeger Program, facesCrisis, funding cuts as Kaiju attacks decrease]
-
A.
crisisRelatedTo
Indicates a relationship where one situation, event, or condition is connected to, associated with, or relevant to a crisis.
-
B.
subsequentCrisis
Indicates that one crisis occurs after and as a consequence or continuation of another earlier crisis.
-
C.
crisisContext
Indicates that the relationship or action occurs within, is shaped by, or is specifically relevant to a crisis situation or emergency context.
-
D.
crisisPower
Indicates a relationship where an entity gains or exerts heightened influence, authority, or effectiveness specifically in situations of crisis or emergency.
-
E.
facesThreat
Indicates that an entity is exposed to or confronted by a potential danger, risk, or harmful situation.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc4ae517108190a71a86349815f4ce |
completed | March 31, 2026, 10:29 p.m. |
Created at: March 30, 2026, 6:32 p.m.