Triple
T21990569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadie Jones |
E543072
|
entity |
| Predicate | drivesConflictVia |
P75326
|
FINISHED |
| Object | reactions to counseling requirements |
—
|
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: reactions to counseling requirements | Statement: [Sadie Jones, drivesConflictVia, reactions to counseling requirements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivesConflictVia Context triple: [Sadie Jones, drivesConflictVia, reactions to counseling requirements]
-
A.
triggersConflict
chosen
Indicates that one entity initiates or causes a dispute, clash, or incompatibility to arise with another entity or within a system.
-
B.
conflictWith
Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
-
C.
conflictsOccurIn
Indicates that one or more conflicts take place within, or are situated in, a specified context, location, or setting.
-
D.
featuresConflictType
Indicates that there is a specific type or category of conflict between the features or characteristics of the related entities.
-
E.
subConflict
Indicates that one conflict is a component, phase, or subordinate part of a larger overarching conflict.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270d7cbc819086eea86be04a2ec0 |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:05 p.m.