Triple
T10750719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiana |
E253563
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Kianna |
E884001
|
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: Kianna | Statement: [Kiana, hasSpellingVariant, Kianna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kianna Context triple: [Kiana, hasSpellingVariant, Kianna]
-
A.
Kianna
chosen
Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
-
B.
Kayely
Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
-
C.
Kiana Williams
Kiana Williams is an American basketball player best known as a standout point guard and leader for Stanford University's women's basketball team, where she helped guide the Cardinal to an NCAA championship.
-
D.
Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
-
E.
Kyra
Kyra is a feminine given name most notably borne by American actress and producer Kyra Sedgwick.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dbfe5f481908eed42328447b158 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55a12b8c8190bbeeb6d176f42b49 |
completed | April 14, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:15 p.m.