Triple
T1028876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olga Nikolaevna of Russia |
E22203
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Olga
Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
|
E136344
|
NE FINISHED |
How this triple was built (4 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: Olga | Statement: [Olga Nikolaevna of Russia, givenName, Olga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olga Context triple: [Olga Nikolaevna of Russia, givenName, Olga]
-
A.
Olga Loyev
Olga Loyev was the wife of the famed Yiddish writer Sholem Aleichem and a supportive partner throughout his literary career.
-
B.
Tatyana
Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
-
C.
Olga Peters
Olga Peters is the American-born daughter of Svetlana Alliluyeva, who was the only daughter of Soviet leader Joseph Stalin.
-
D.
Praskovia Saltykova
Praskovia Saltykova was a Russian noblewoman and tsarevna consort best known as the wife of Tsar Ivan V and the mother of Empress Anna of Russia.
-
E.
Anastasia Shubskaya
Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Olga Triple: [Olga Nikolaevna of Russia, givenName, Olga]
Generated description
Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olga Target entity description: Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
-
A.
Olga Loyev
Olga Loyev was the wife of the famed Yiddish writer Sholem Aleichem and a supportive partner throughout his literary career.
-
B.
Tatyana
Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
-
C.
Olga Peters
Olga Peters is the American-born daughter of Svetlana Alliluyeva, who was the only daughter of Soviet leader Joseph Stalin.
-
D.
Praskovia Saltykova
Praskovia Saltykova was a Russian noblewoman and tsarevna consort best known as the wife of Tsar Ivan V and the mother of Empress Anna of Russia.
-
E.
Anastasia Shubskaya
Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
- F. None of above. chosen
Provenance (5 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f84c888190b5b9e44c7edb508f |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac763827b08190b84cc18a5cfa64fc |
completed | March 7, 2026, 7:02 p.m. |
| NEDg | Description generation | batch_69ac76c0863c81909c68208709e4767b |
completed | March 7, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac778551f88190ac041d80e41d209d |
completed | March 7, 2026, 7:07 p.m. |
Created at: March 1, 2026, 7:41 p.m.