Triple
T7554565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Shand |
E178625
|
entity |
| Predicate | usesViolence |
P51439
|
FINISHED |
| Object | to maintain control |
—
|
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: to maintain control | Statement: [Harold Shand, usesViolence, to maintain control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesViolence Context triple: [Harold Shand, usesViolence, to maintain control]
-
A.
usedViolenceAgainst
chosen
Indicates that one entity intentionally inflicted physical force or harm upon another entity.
-
B.
hasTypeOfViolence
Indicates that an entity involves, exhibits, or is characterized by a specific kind or category of violent behavior or action.
-
C.
peakViolencePeriod
Indicates the time period during which violence reaches its highest intensity or frequency within a given context.
-
D.
viewOnViolence
Indicates an entity’s stance, opinion, or attitude toward the use of violence.
-
E.
hasForcesInvolved
Indicates that specific forces, such as military or organizational units, participate in or are engaged in a particular event or operation.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b990148190b26a3a262cf538b3 |
completed | March 27, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:49 p.m.