Triple
T23334327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jervaulx Abbey |
E591534
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Peter de Quency |
—
|
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: Peter de Quency | Statement: [Jervaulx Abbey, foundedBy, Peter de Quency]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter de Quency Context triple: [Jervaulx Abbey, foundedBy, Peter de Quency]
-
A.
Robert de Quincy
chosen
Robert de Quincy was a medieval Anglo-Norman nobleman and crusader associated with the prominent de Quincy family.
-
B.
William Cornysh
William Cornysh was an English Renaissance composer and dramatist known for his influential sacred and secular music at the Tudor court.
-
C.
Francis Gisborne
Francis Gisborne was a 19th-century Anglican clergyman and writer known for his evangelical sermons and religious tracts in England.
-
D.
Mr. Furnival
Mr. Furnival is a prominent London barrister in Anthony Trollope’s novel "Orley Farm," known for his legal skill, social ambition, and complex personal life.
-
E.
Arthur Malet
Arthur Malet was a British-born character actor known for his distinctive voice and frequent supporting roles in American film and television, including voice work in animated features.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197efd98c819083635a2b8440f3eb |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:16 p.m.