Triple
T23894899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lane Kim |
E600875
|
entity |
| Predicate | culturalConflictWith |
P79084
|
FINISHED |
| Object | Mrs. Kim |
—
|
NE NERFINISHED |
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: Mrs. Kim | Statement: [Lane Kim, culturalConflictWith, Mrs. Kim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalConflictWith Context triple: [Lane Kim, culturalConflictWith, Mrs. Kim]
-
A.
culturalIssue
Indicates that something pertains to, arises from, or significantly affects the beliefs, values, practices, or norms of a particular culture or group.
-
B.
exploresConflictBetween
Indicates a relationship where one entity examines, analyzes, or delves into the tensions, disagreements, or opposing forces involving another entity or set of entities.
-
C.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
D.
religiousConflictBetween
Indicates a relationship where two entities are in opposition or dispute due to differing religious beliefs, practices, or affiliations.
-
E.
societalConflict
chosen
Indicates a relationship where groups or individuals within a society are in opposition or tension over values, resources, power, or social norms.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdd857d081908740c4abb246c2ba |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.