Triple
T3792917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courtney |
E89699
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Courtnay |
E89699
|
NE FINISHED |
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: Courtnay | Statement: [Courtney, hasVariant, Courtnay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courtnay Context triple: [Courtney, hasVariant, Courtnay]
-
A.
Courtney
chosen
Courtney is a surname of Irish origin that is also commonly used as a given name.
-
B.
Kenley
Kenley is a suburban district in South London known for its residential character and proximity to green spaces such as Kenley Common and the historic Kenley Aerodrome.
-
C.
Lindsay
Lindsay is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who rebuilds his life in the underworld of Bombay.
-
D.
Lindsay
Lindsay is a surname most notably associated with American poet Vachel Lindsay, a key figure in early 20th-century performance and visionary poetry.
-
E.
Glennis
Glennis is a feminine given name, best known for belonging to Glennis Dickhouse Yeager, the wife of test pilot Chuck Yeager and namesake of the Bell X-1 aircraft "Glamorous Glennis."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee769d68081908dcdd3d232dbb61c |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f058f03881909aded87e7a74849f |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:15 p.m.