Triple
T12462941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulyanov family |
E297842
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ulyanov |
E103515
|
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: Ulyanov | Statement: [Ulyanov family, familyName, Ulyanov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulyanov Context triple: [Ulyanov family, familyName, Ulyanov]
-
A.
Ulyanov
chosen
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
B.
Ulyanovsk
Ulyanovsk is a city in western Russia on the Volga River, best known as the birthplace of Vladimir Lenin and an important regional industrial and cultural center.
-
C.
Yelabuga
Yelabuga is a historic town in the Republic of Tatarstan, Russia, known for its preserved merchant architecture and cultural heritage.
-
D.
Kirovgrad
Kirovgrad is a small industrial town in Russia’s Ural region, historically associated with non-ferrous metal mining and processing.
-
E.
Sverdlovsk
Sverdlovsk is the former name of Yekaterinburg, a major industrial and cultural city in Russia’s Ural region.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db5efe88190a76949e4ddc3314c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a82c2b9c819084ffd933e5b295b9 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 8, 2026, 9:56 p.m.