Triple
T14028348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Bedford |
E337521
|
entity |
| Predicate | typicalMaritalConnection |
P31663
|
FINISHED |
| Object | wife of the Earl of Bedford |
—
|
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: wife of the Earl of Bedford | Statement: [Countess of Bedford, typicalMaritalConnection, wife of the Earl of Bedford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMaritalConnection Context triple: [Countess of Bedford, typicalMaritalConnection, wife of the Earl of Bedford]
-
A.
maritalRelations
Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
-
B.
hasMaritalRelationshipType
Indicates the specific type or nature of the marital relationship that exists between two entities.
-
C.
connectedThroughMarriageVia
Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
-
D.
hasMemberSpouseConnection
Indicates a relationship where one entity is a spouse of a member associated with the other entity.
-
E.
spouseType
chosen
Indicates the specific role or category of a person within a spousal relationship (e.g., husband, wife, partner).
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.