Triple
T11082534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krylatskoye |
E262037
|
entity |
| Predicate | hasArchitect |
P184
|
FINISHED |
| Object | A. Mosichuk |
E854168
|
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. Mosichuk | Statement: [Krylatskoye, hasArchitect, A. Mosichuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A. Mosichuk Context triple: [Krylatskoye, hasArchitect, A. Mosichuk]
-
A.
A. Mosichuk
chosen
A. Mosichuk is an architect known for designing buildings in the Polyanka area.
-
B.
Alec Miloslavsky
Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
-
C.
Thomas Yatsko
Thomas Yatsko is an American cinematographer and television director known for his work on various films and TV series, including the thriller "The Call" (2013).
-
D.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
E.
E. Sokolov
E. Sokolov was a Russian architect known for his work on prominent St. Petersburg landmarks in the late 18th and early 19th centuries.
- 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_69e3e789d7248190a40de0bdda539f45 |
completed | April 18, 2026, 8:20 p.m. |
Created at: April 8, 2026, 9:27 p.m.