Triple
T21187867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop Wilton Wold |
E522130
|
entity |
| Predicate | hasListing |
P1278
|
FINISHED |
| Object | Marilyn of England |
—
|
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: Marilyn of England | Statement: [Bishop Wilton Wold, hasListing, Marilyn of England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marilyn of England Context triple: [Bishop Wilton Wold, hasListing, Marilyn of England]
-
A.
Elizabeth Scott
Elizabeth Scott was a Scottish noblewoman of the influential Scott family, daughter of Francis Scott, 2nd Earl of Buccleuch.
-
B.
Meryl Talbot
Meryl Talbot is an individual notable enough to be recognized as a bearer of the Talbot surname, though specific widely known public details about her are not readily available.
-
C.
Diana Fairfax
Diana Fairfax is an actress known for her role in the British television drama "The Leaving of Liverpool."
-
D.
Marilyn
Marilyn is the given first name of American country music singer Jeannie Seely.
-
E.
Marilyn
chosen
A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333403448190bcd9cc0805e414b5 |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:07 p.m.