Triple
T21652982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michaela |
E534386
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Mikayla |
—
|
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: Mikayla | Statement: [Michaela, hasVariant, Mikayla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikayla Context triple: [Michaela, hasVariant, Mikayla]
-
A.
Mikaela
chosen
Mikaela is a feminine given name most prominently associated with American alpine ski champion Mikaela Shiffrin.
-
B.
Kyla
Kyla is a British R&B singer best known internationally for her vocals on Drake’s hit single “One Dance.”
-
C.
Kyla
Kyla is a feminine given name used in various English-speaking countries.
-
D.
Kayla
Kayla is a central character in the tech-comedy web series "Hacks," known for her over-the-top personality and chaotic presence in the workplace.
-
E.
Kayla
Kayla is a young child in Jesmyn Ward’s novel "Sing, Unburied, Sing," symbolizing innocence and hope amid her family’s struggles with racism, addiction, and generational trauma in rural Mississippi.
- 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.