Triple
T25057324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor McGovern |
E627554
|
entity |
| Predicate | hasNotableSpouseRole |
P106611
|
FINISHED |
| Object | wife of a U.S. Senator |
—
|
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 a U.S. Senator | Statement: [Eleanor McGovern, hasNotableSpouseRole, wife of a U.S. Senator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSpouseRole Context triple: [Eleanor McGovern, hasNotableSpouseRole, wife of a U.S. Senator]
-
A.
spouseOfRole
chosen
Indicates that one role is the spouse (husband, wife, or equivalent marital partner) of another role.
-
B.
hasNotableMarriage
Indicates a marital relationship involving the subject that is considered significant or noteworthy in some context.
-
C.
spouseNotableFor
Indicates that a person's spouse is recognized or distinguished for a particular achievement, role, or characteristic.
-
D.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
E.
hasPublicFigureSpouse
Indicates that a person’s spouse is a public figure, such as a celebrity, politician, or other widely recognized individual.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 18, 2026, 6:09 a.m.