Triple
T9719628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rothbart |
E235429
|
entity |
| Predicate | librettoBy |
P59320
|
FINISHED |
| Object | Vasily Geltser |
E329265
|
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: Vasily Geltser | Statement: [Rothbart, librettoBy, Vasily Geltser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vasily Geltser Context triple: [Rothbart, librettoBy, Vasily Geltser]
-
A.
Vasily Geltser
chosen
Vasily Geltser was a 19th-century Russian ballet figure known for his work as a librettist and contributor to the development of classical Russian ballet.
-
B.
Stepan Chernyak
Stepan Chernyak was a Soviet military commander best known for leading Red Army forces during World War II.
-
C.
Mordechai Bogdanov
Mordechai Bogdanov is a notable inmate associated with Russia’s infamous Vladimir Central Prison, known for housing prominent and often politically sensitive prisoners.
-
D.
Lev Shlosberg
Lev Shlosberg is a Russian liberal politician, journalist, and human rights advocate known for his opposition to the Kremlin and his work within the Yabloko party.
-
E.
Yevgeni Urbansky
Yevgeni Urbansky was a Soviet film actor known for his intense, emotionally powerful performances in late 1950s and early 1960s cinema.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e4022c4819097455f14dd9b1a77 |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89eedc66c81909076cc7ba35f9da5 |
completed | April 10, 2026, 6:55 a.m. |
Created at: March 30, 2026, 8:20 p.m.