Triple
T23849694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | …and His Lovely Wife: A Memoir from the Woman Beside the Man |
E592124
|
entity |
| Predicate | spouseOfSubjectDescribed |
P33561
|
FINISHED |
| Object | Sherrod Brown |
—
|
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: Sherrod Brown | Statement: […and His Lovely Wife: A Memoir from the Woman Beside the Man, spouseOfSubjectDescribed, Sherrod Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfSubjectDescribed Context triple: […and His Lovely Wife: A Memoir from the Woman Beside the Man, spouseOfSubjectDescribed, Sherrod Brown]
-
A.
spouseOfType
Indicates that one entity is the spouse of another, specifying the type or role of that spousal relationship.
-
B.
spouseAssociatedWith
chosen
Indicates a marital or spousal relationship or close association between two entities.
-
C.
spouseOfWork
Indicates that one person is the spouse of another specifically in the context of their workplace or professional environment.
-
D.
spouseOfHead
Indicates that one person is the married partner of the individual who holds the position of head (e.g., head of a household, organization, or state).
-
E.
spouseCharacterOf
Indicates a marital relationship where one character is the spouse of another character.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c9862cb081908e2433678190dee8 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.