Triple
T21652984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michaela |
E534386
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Michaëla |
—
|
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: Michaëla | Statement: [Michaela, hasVariant, Michaëla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michaëla Context triple: [Michaela, hasVariant, Michaëla]
-
A.
Michaëlle
Michaëlle is a feminine given name most notably borne by Michaëlle Jean, the former Governor General of Canada.
-
B.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
C.
Michela
chosen
Michela is a given name, commonly used in Italian- and Portuguese-speaking countries as a feminine form of Michael.
-
D.
Mikaela
Mikaela is a feminine given name most prominently associated with American alpine ski champion Mikaela Shiffrin.
-
E.
Mikhaila
Mikhaila is a feminine given name, typically considered a modern or variant spelling of Michaela.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591594a08190bf0ddd0a0c0922ba |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.