Triple
T5827633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikhail Bulgakov |
E129266
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bulgakov |
E129266
|
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: Bulgakov | Statement: [Mikhail Bulgakov, familyName, Bulgakov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulgakov Context triple: [Mikhail Bulgakov, familyName, Bulgakov]
-
A.
Mikhail Bulgakov
chosen
Mikhail Bulgakov was a Russian writer and playwright best known for his satirical and fantastical novel "The Master and Margarita."
-
B.
Zakhar Moglin
Zakhar Moglin was the husband of Zinaida Volkova, the daughter of Russian revolutionary Leon Trotsky.
-
C.
Dr. Gogol
Dr. Gogol is the obsessive, deranged surgeon and main antagonist in the 1935 horror film "Mad Love," known for his macabre experiments and fixation on a famous actress.
-
D.
Venedikt Erofeev
Venedikt Erofeev was a Russian writer and satirist best known for his cult prose poem "Moscow-Petushki," a darkly comic, philosophical account of a drunken train journey.
-
E.
Nikolai Gogol
Nikolai Gogol was a 19th-century Russian-language writer of Ukrainian origin, renowned for his influential satirical and surreal works such as "Dead Souls" and "The Overcoat."
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0341df8dc8190871af068e1f927a2 |
completed | March 22, 2026, 6:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107ee88fc8190a6f633ff168b51ed |
completed | March 23, 2026, 9:29 a.m. |
Created at: March 22, 2026, 3:53 p.m.