Triple
T20209071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audrey |
E493438
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Audra |
—
|
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: Audra | Statement: [Audrey, hasVariant, Audra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audra Context triple: [Audrey, hasVariant, Audra]
-
A.
Audra
chosen
Audra is a feminine given name most notably associated with acclaimed American actress and singer Audra McDonald.
-
B.
Audra Mari
Audra Mari is an American model, television host, and former Miss World America titleholder.
-
C.
Audra Favor
Audra Favor is a character in the Western film "Hombre," depicted as a refined, upper-class woman whose prejudices and vulnerabilities are exposed during a perilous stagecoach journey.
-
D.
Audra Lindley
Audra Lindley was an American actress best known for her role as the quirky landlady Helen Roper on the television sitcom "Three's Company" and its spin-off "The Ropers."
-
E.
Leontyne
Leontyne is a feminine given name most notably associated with the celebrated American opera singer Leontyne Price.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d94999c8190b67051cb0acea213 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.