Triple
T18166586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lufton |
E434910
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Lord Lufton |
—
|
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: Lord Lufton | Statement: [Lufton, hasMember, Lord Lufton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Lufton Context triple: [Lufton, hasMember, Lord Lufton]
-
A.
Lord Lufton
chosen
Lord Lufton is a young, charming aristocrat in Anthony Trollope’s Barsetshire novels, best known for his central romantic and social entanglements in "Framley Parsonage."
-
B.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
C.
Malcolm Longair
Malcolm Longair is a prominent British astrophysicist known for his influential work in high-energy astrophysics and cosmology, as well as for his leadership roles in major astronomical institutions.
-
D.
Percival C. Wren
Percival C. Wren was a British writer best known for his adventure novel "Beau Geste," which inspired several film adaptations.
-
E.
Lord Faulks
Lord Faulks is a British barrister and Conservative politician who has served as a life peer in the House of Lords and held ministerial roles in the UK government.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec7e41c8190bd19dc5f62c69608 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.