Triple
T8847772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danilova |
E210550
|
entity |
| Predicate | masculineForm |
P15475
|
FINISHED |
| Object | Danilov |
E761661
|
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: Danilov | Statement: [Danilova, masculineForm, Danilov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danilov Context triple: [Danilova, masculineForm, Danilov]
-
A.
Danilov
chosen
Danilov is a Russian masculine surname, from which the feminine form Danilova is derived.
-
B.
Piotrovsky
Piotrovsky is a Russian surname most prominently associated with Mikhail Piotrovsky, the long-serving director of the State Hermitage Museum in Saint Petersburg.
-
C.
Kolomenskaya
Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
-
D.
Chernyakhovsky
Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
-
E.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60a9194c8190bdfefc55a8fb29a3 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa07ad12c81908de0502706ad4019 |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:49 p.m.