Triple
T25436692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elsie Viola Kachel |
E637390
|
entity |
| Predicate | maritalRelationshipCharacterization |
P21095
|
FINISHED |
| Object | complex marriage |
—
|
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: complex marriage | Statement: [Elsie Viola Kachel, maritalRelationshipCharacterization, complex marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalRelationshipCharacterization Context triple: [Elsie Viola Kachel, maritalRelationshipCharacterization, complex marriage]
-
A.
maritalRelations
Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
-
B.
marriageCharacterization
chosen
Indicates how a marriage is described, evaluated, or characterized in terms of its qualities, dynamics, or nature.
-
C.
hasMaritalRelationshipType
Indicates the specific type or nature of the marital relationship that exists between two entities.
-
D.
maritalStyleOf
Indicates the characteristic manner, pattern, or quality of interaction that defines a particular marriage or marital relationship.
-
E.
effectOnMaritalRelations
Indicates how an action, event, or condition influences the quality, stability, or dynamics of marital relationships between partners.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6e0338c8190ace22e7a6239f68d |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:59 p.m.