Triple
T11589951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanne |
E274853
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Jo-Anne |
E934137
|
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: Jo-Anne | Statement: [Joanne, hasAlternativeSpelling, Jo-Anne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo-Anne Context triple: [Joanne, hasAlternativeSpelling, Jo-Anne]
-
A.
Davina
Davina is a feminine given name, often considered a variant of David, used in various cultures.
-
B.
Jayne Rowse
Jayne Rowse is a Michigan nurse and LGBT rights advocate known for challenging the state's same-sex marriage and adoption bans in the landmark DeBoer v. Snyder case.
-
C.
Annie Marter
Annie Marter is a film producer known for her work on the 2014 science fiction movie "Transcendence."
-
D.
Francesca Annis
Francesca Annis is an English actress known for her extensive work in film, television, and theatre, including notable roles in productions such as "Dune," "Cranford," and numerous Shakespeare adaptations.
-
E.
Jo-Ann
chosen
Jo-Ann is a feminine given name, typically a variant of Joanne or Jo Ann, used in English-speaking countries.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d894643ae48190837502b713f5b9c6 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86df14048190ae8f6d8b11610079 |
completed | April 26, 2026, 9:42 p.m. |
Created at: April 8, 2026, 9:38 p.m.