Triple
T15682735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uljana Semjonova |
E377618
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Uljana |
E911407
|
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: Uljana | Statement: [Uljana Semjonova, givenName, Uljana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uljana Context triple: [Uljana Semjonova, givenName, Uljana]
-
A.
Ulyana
chosen
Ulyana is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
-
B.
Ulla
Ulla is the glamorous, Swedish bombshell secretary and aspiring actress character in the musical comedy "The Producers."
-
C.
Ulla
Ulla is a river that serves as a tributary of the Dzvina (Western Dvina) in Eastern Europe.
-
D.
Ulyanova
Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
-
E.
Vika
Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f31b5b881908e46ecd9fc6048ab |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee4c8688190ae2fefb56171161a |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.