Triple
T13783803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Orono |
E331199
|
entity |
| Predicate | conflictResolutionStyle |
P21013
|
FINISHED |
| Object | negotiation and cooperation |
—
|
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: negotiation and cooperation | Statement: [Joseph Orono, conflictResolutionStyle, negotiation and cooperation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictResolutionStyle Context triple: [Joseph Orono, conflictResolutionStyle, negotiation and cooperation]
-
A.
conflictResolvedBy
Indicates that a conflict or dispute is settled or addressed through the actions, decisions, or intervention of a specified entity or process.
-
B.
conflictManagementMechanism
chosen
Indicates a relationship where a method, process, or system is used to prevent, manage, or resolve conflicts between parties or interests.
-
C.
addressedConflictWith
Indicates that one entity has taken action to confront, manage, or resolve a conflict involving another entity.
-
D.
partnerInConflictResolutionWith
Indicates that two entities collaborate as partners in resolving a specific conflict or dispute.
-
E.
conflictedBetween
Indicates being torn or uncertain between two or more options, positions, or commitments.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0247ccc881908dad7b547221f15d |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.