Triple
T17059414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokhele |
E413914
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Stempenyu |
E88489
|
NE 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: Stempenyu | Statement: [Rokhele, appearsIn, Stempenyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stempenyu Context triple: [Rokhele, appearsIn, Stempenyu]
-
A.
Stempenyu
chosen
Stempenyu is a Yiddish novel by Sholem Aleichem that portrays the life and romantic entanglements of a charismatic klezmer violinist in a Jewish shtetl.
-
B.
Anastas
Anastas is a masculine given name most notably borne by Soviet statesman Anastas Mikoyan.
-
C.
Svechin
Svechin is a Russian surname most notably associated with military theorist Aleksandr Svechin.
-
D.
Vasishka
Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
-
E.
Pelageya
Pelageya is a Russian singer renowned for her powerful folk-inspired vocals and performances that blend traditional music with contemporary styles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7c21a881909bfb67080706612f |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012349b2c88190a5c5e06a5cae1ac5 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.