Triple
T31392492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Came the Lightening: Twenty Poems for George |
E800768
|
entity |
| Predicate | hasAuthorSpouseSubjectRelation |
P70306
|
FINISHED |
| Object | Olivia Harrison – George Harrison |
—
|
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: Olivia Harrison – George Harrison | Statement: [Came the Lightening: Twenty Poems for George, hasAuthorSpouseSubjectRelation, Olivia Harrison – George Harrison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorSpouseSubjectRelation Context triple: [Came the Lightening: Twenty Poems for George, hasAuthorSpouseSubjectRelation, Olivia Harrison – George Harrison]
-
A.
hasAuthorSpouse
chosen
Indicates that the spouse of the subject entity is the author of the related work or entity.
-
B.
hasAuthorMarriedName
Indicates that an author’s married surname or full married name is associated with them, typically differing from their birth or maiden name.
-
C.
hasAuthorRelationshipToSubject
Indicates that an entity serves as the author or creator of the specified subject.
-
D.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
E.
spouseInstanceOf
Indicates that one entity is the specific spouse (marriage partner) instance of another entity.
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 29, 2026, 9:19 p.m.