Triple
T20406636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Katherine Manners |
E500483
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Manners |
—
|
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: Manners | Statement: [Lady Katherine Manners, familyName, Manners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manners Context triple: [Lady Katherine Manners, familyName, Manners]
-
A.
Manners
"Manners" is an essay by Ralph Waldo Emerson that explores the social and moral significance of etiquette and behavior in human character.
-
B.
Manners
chosen
Manners is a prominent English aristocratic family name historically associated with the Dukes of Rutland and various notable political and social figures in Britain.
-
C.
Manners
"Manners" is an electro-pop song by Swedish duo Icona Pop that helped introduce their energetic, synth-driven style to a wider audience.
-
D.
Mind Your Manners
"Mind Your Manners" is a track by the American noise rock band Lightning Bolt, known for its frenetic energy and distorted, high-intensity sound.
-
E.
Table Manners
Table Manners is a comedic play by Alan Ayckbourn, forming one part of his interlinked trilogy "The Norman Conquests," which depicts the same weekend's events from different locations.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67993dc7081908ebd54ec92e712ea |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.