Triple
T5023692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raisa Maksimovna Titarenko |
E112919
|
entity |
| Predicate | patronymicName |
P7966
|
FINISHED |
| Object |
Maksimovna
Maksimovna is a Russian patronymic derived from the male given name Maksim, traditionally used as a middle name indicating "daughter of Maksim."
|
E486135
|
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: Maksimovna | Statement: [Raisa Maksimovna Titarenko, patronymicName, Maksimovna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maksimovna Context triple: [Raisa Maksimovna Titarenko, patronymicName, Maksimovna]
-
A.
Iosifovna
Iosifovna is a Russian patronymic suffix used in female names to indicate that the person's father is named Iosif (Joseph).
-
B.
Kirillovna
Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
-
C.
Ivanovna
Ivanovna is a common Russian patronymic surname suffix for women, indicating "daughter of Ivan."
-
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.
Martha Apraksina
Martha Apraksina was a Russian noblewoman best known as the second wife of Tsar Feodor III of Russia.
- 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: Maksimovna Triple: [Raisa Maksimovna Titarenko, patronymicName, Maksimovna]
Generated description
Maksimovna is a Russian patronymic derived from the male given name Maksim, traditionally used as a middle name indicating "daughter of Maksim."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maksimovna Target entity description: Maksimovna is a Russian patronymic derived from the male given name Maksim, traditionally used as a middle name indicating "daughter of Maksim."
-
A.
Iosifovna
Iosifovna is a Russian patronymic suffix used in female names to indicate that the person's father is named Iosif (Joseph).
-
B.
Kirillovna
Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
-
C.
Ivanovna
Ivanovna is a common Russian patronymic surname suffix for women, indicating "daughter of Ivan."
-
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.
Martha Apraksina
Martha Apraksina was a Russian noblewoman best known as the second wife of Tsar Feodor III of Russia.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736852e88190b69d6561ca7604c3 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9286bb28819095ca0ec858061419 |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be933f3ed08190a128c1b3c9b3b1c3 |
completed | March 21, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be940b2eac819099001d403501afac |
completed | March 21, 2026, 12:50 p.m. |
Created at: March 20, 2026, 1:36 p.m.