Triple
T34403278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goryachev |
E883038
|
entity |
| Predicate | hasGenderedFormRule |
P133302
|
FINISHED |
| Object | masculine surnames in -ev often form feminine in -eva |
—
|
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: masculine surnames in -ev often form feminine in -eva | Statement: [Goryachev, hasGenderedFormRule, masculine surnames in -ev often form feminine in -eva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenderedFormRule Context triple: [Goryachev, hasGenderedFormRule, masculine surnames in -ev often form feminine in -eva]
-
A.
hasGenderFormat
Indicates that something is associated with or expressed in a particular gender-related format or representation.
-
B.
hasGenderedFormOrigin
Indicates that one form of an entity originates from or is derived based on a specific grammatical or social gender.
-
C.
hasGenderVariant
Indicates that one entity is a gender-specific form or variant of another entity.
-
D.
genderedFormOf
Indicates that one term is a gender-specific variant or inflected form corresponding to another, more neutral or differently gendered term.
-
E.
hasGenderConvention
chosen
Indicates that there is an established or customary way of assigning or expressing gender within a given context, system, or culture.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: May 1, 2026, 1:59 a.m.