Triple
T32816336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carla Pestalozzi |
E839301
|
entity |
| Predicate | partnerInDangerFrom |
P180362
|
FINISHED |
| Object | VX gas threat |
—
|
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: VX gas threat | Statement: [Carla Pestalozzi, partnerInDangerFrom, VX gas threat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInDangerFrom Context triple: [Carla Pestalozzi, partnerInDangerFrom, VX gas threat]
-
A.
partnerInConflictWith
Indicates that two entities are engaged as opposing partners or sides within the same conflict or dispute.
-
B.
partnerInActWith
Indicates that two or more entities jointly participate as partners in carrying out the same act or action.
-
C.
partnerInConflictResolutionWith
Indicates that two entities collaborate as partners in resolving a specific conflict or dispute.
-
D.
partnerInUnionWith
Indicates a mutual partnership or union relationship between two entities, such as a civil, domestic, or similar legally or socially recognized union.
-
E.
partnerInCrime
Indicates a relationship where two or more entities collaborate closely in committing or planning wrongful, illicit, or mischievous acts together.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: May 1, 2026, 1:15 a.m.