Triple
T23232331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fynn |
E581191
|
entity |
| Predicate | isVariantSpelling |
P457
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Fynn, isVariantSpelling, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVariantSpelling Context triple: [Fynn, isVariantSpelling, true]
-
A.
hasVariantSpelling
chosen
Indicates that one term is an alternative spelling form of another term.
-
B.
linguisticVariant
Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
-
C.
isSometimesUsedAsVariantOf
Indicates that one entity is occasionally employed as an alternative or substitute form of another entity, but not as its primary or standard version.
-
D.
hasTypicalSpelling
Indicates that one form is the standard or commonly accepted spelling of another form.
-
E.
hasPronunciationDifferenceFrom
Indicates that two linguistic items differ in how they are pronounced.
- F. None of above.
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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1923325a08190a529da687de53489 |
completed | April 29, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.