Triple
T25132218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semyonova |
E629552
|
entity |
| Predicate | feminineCounterpartOf |
P1613
|
FINISHED |
| Object | Semin |
—
|
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: Semin | Statement: [Semyonova, feminineCounterpartOf, Semin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feminineCounterpartOf Context triple: [Semyonova, feminineCounterpartOf, Semin]
-
A.
hasFemaleEquivalent
chosen
Indicates that one entity serves as the female counterpart or equivalent of another entity.
-
B.
femalePartner
Indicates that one entity is the female partner in a romantic or marital relationship with the other entity.
-
C.
hasFemaleFormOf
Indicates that one entity is the specifically female version or form of another, more general or differently gendered entity.
-
D.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
-
E.
femaleSubject
Indicates that the subject in the relationship or action is female.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465fb5eb88190bb30b07f57fe4e8d |
completed | May 1, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:28 a.m.