Triple
T37567061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorials of Edward Burne-Jones |
E933984
|
entity |
| Predicate | spouseOfAuthor |
P70306
|
FINISHED |
| Object | Edward Burne-Jones |
—
|
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: Edward Burne-Jones | Statement: [Memorials of Edward Burne-Jones, spouseOfAuthor, Edward Burne-Jones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfAuthor Context triple: [Memorials of Edward Burne-Jones, spouseOfAuthor, Edward Burne-Jones]
-
A.
hasAuthorSpouse
chosen
Indicates that the spouse of the subject entity is the author of the related work or entity.
-
B.
spouseOfPublisherOf
Indicates that one entity is the spouse of the person or organization that publishes another entity.
-
C.
authorSpouseOrigin
Indicates that the spouse of the author comes from or is originally associated with a specified place or origin.
-
D.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
E.
spouseOfPulitzerPrizeWinner
Indicates being the spouse of a person who has won a Pulitzer Prize.
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 3, 2026, 4:17 p.m.