Triple
T17961969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Monique government |
E449105
|
entity |
| Predicate | usesIntimidationMethods |
P129920
|
FINISHED |
| Object | voodoo imagery and fear |
—
|
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: voodoo imagery and fear | Statement: [San Monique government, usesIntimidationMethods, voodoo imagery and fear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesIntimidationMethods Context triple: [San Monique government, usesIntimidationMethods, voodoo imagery and fear]
-
A.
usedMeansOfDeception
Indicates that one entity employed a particular method or tool specifically to deceive another entity.
-
B.
usesLegalPressureOn
Indicates that one party applies legal mechanisms, such as lawsuits or regulatory actions, to compel, influence, or coerce another party.
-
C.
useOfTorture
Indicates the intentional infliction or use of torture by one entity upon another, typically to punish, coerce, intimidate, or extract information.
-
D.
usedViolenceAgainst
Indicates that one entity intentionally inflicted physical force or harm upon another entity.
-
E.
involvesIntendedVictim
Indicates that an action, event, or plan is directed toward and meant to affect a specific intended victim.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b132cc10819088526a0b4b098d69 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.