Triple
T13448862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasha Antipov |
E320554
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Strelnikov
Strelnikov is the revolutionary alias of Pasha Antipov, a radical Bolshevik leader in Boris Pasternak’s novel "Doctor Zhivago."
|
E1040271
|
NE FINISHED |
How this triple was built (4 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: Strelnikov | Statement: [Pasha Antipov, alsoKnownAs, Strelnikov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strelnikov Context triple: [Pasha Antipov, alsoKnownAs, Strelnikov]
-
A.
Strelna
Strelna is a suburban settlement near Saint Petersburg, Russia, known for its historic palaces and role as an imperial residence area.
-
B.
Vasilevsky
Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
-
C.
Shaposhnikov
Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
-
D.
Zubov
Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
-
E.
Shcherbakov
Shcherbakov was a former Soviet-era name of the Russian city now known as Rybinsk.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Strelnikov Triple: [Pasha Antipov, alsoKnownAs, Strelnikov]
Generated description
Strelnikov is the revolutionary alias of Pasha Antipov, a radical Bolshevik leader in Boris Pasternak’s novel "Doctor Zhivago."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strelnikov Target entity description: Strelnikov is the revolutionary alias of Pasha Antipov, a radical Bolshevik leader in Boris Pasternak’s novel "Doctor Zhivago."
-
A.
Strelna
Strelna is a suburban settlement near Saint Petersburg, Russia, known for its historic palaces and role as an imperial residence area.
-
B.
Vasilevsky
Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
-
C.
Shaposhnikov
Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
-
D.
Zubov
Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
-
E.
Shcherbakov
Shcherbakov was a former Soviet-era name of the Russian city now known as Rybinsk.
- F. None of above. chosen
Provenance (5 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73999f8388190b2c578e063341178 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73af2b37481908c4d282c1335fe08 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b959de88190959335353242031b |
completed | May 3, 2026, 12:12 p.m. |
Created at: April 9, 2026, 9:41 p.m.