Triple
T26859320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliot |
E676282
|
entity |
| Predicate | hasSpellingVariantFrequency |
P176706
|
FINISHED |
| Object | less common than Elliott |
—
|
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: less common than Elliott | Statement: [Elliot, hasSpellingVariantFrequency, less common than Elliott]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpellingVariantFrequency Context triple: [Elliot, hasSpellingVariantFrequency, less common than Elliott]
-
A.
hasVariantSpelling
Indicates that one term is an alternative spelling form of another term.
-
B.
spellingVariantPattern
Indicates a relationship where one form of a word is a systematic spelling variant of another, following a recognizable pattern of orthographic change.
-
C.
hasLinguisticVariety
Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
-
D.
linguisticVariant
Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
-
E.
hasSpellingWithAccent
Indicates that one form of a word or name is spelled using accented characters compared to another form.
- F. None of above. chosen
Provenance (4 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 27, 2026, 5:23 a.m.