Triple
T23928798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Лазарь Маркович Лисицкий |
E602432
|
entity |
| Predicate | преподавал в |
P127669
|
FINISHED |
| Object | ВХУТЕМАС |
—
|
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: ВХУТЕМАС | Statement: [Лазарь Маркович Лисицкий, преподавал в, ВХУТЕМАС]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: преподавал в Context triple: [Лазарь Маркович Лисицкий, преподавал в, ВХУТЕМАС]
-
A.
taught at
chosen
Indicates that one entity served as an instructor or teacher at a particular institution, organization, or location.
-
B.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
C.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
D.
taughtThrough
Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
-
E.
taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf9a18248190b20991969921ecfd |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:54 p.m.