Triple
T11082536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krylatskoye |
E262037
|
entity |
| Predicate | hasArchitect |
P184
|
FINISHED |
| Object | A. Voronina |
E847239
|
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: A. Voronina | Statement: [Krylatskoye, hasArchitect, A. Voronina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A. Voronina Context triple: [Krylatskoye, hasArchitect, A. Voronina]
-
A.
Maria Vorontsova
Maria Vorontsova is a Russian pediatric endocrinologist and businesswoman widely reported to be one of Vladimir Putin’s daughters.
-
B.
Maria Buynosova-Rostovskaya
Maria Buynosova-Rostovskaya was a Russian noblewoman best known as the wife of Tsar Vasili IV Shuisky during the Time of Troubles.
-
C.
Marfa Lapkina
Marfa Lapkina was a Soviet actress best known for her leading role in Sergei Eisenstein’s silent film "The General Line" (also known as "Old and New").
-
D.
N. Shurygina
chosen
N. Shurygina is an architect known for contributing to the design and development of the Novogireyevo district in Moscow.
-
E.
Pelagea Vlassova
Pelagea Vlassova is the central proletarian heroine of Maxim Gorky’s novel *The Mother*, who evolves from a submissive, illiterate woman into a committed revolutionary activist.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799985650819089b2c0f35a212414 |
completed | April 9, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee861f89b48190b06fba51475497e6 |
completed | April 26, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:27 p.m.