Triple
T17382230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Father of a Soldier |
E422596
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
V. Dobrovolskaya
V. Dobrovolskaya is a film editor known for working on the Soviet war drama "Father of a Soldier."
|
E1266182
|
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: V. Dobrovolskaya | Statement: [Father of a Soldier, editedBy, V. Dobrovolskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V. Dobrovolskaya Context triple: [Father of a Soldier, editedBy, V. Dobrovolskaya]
-
A.
N. Shurygina
N. Shurygina is an architect known for contributing to the design and development of the Novogireyevo district in Moscow.
-
B.
N. Samoylova
N. Samoylova is an architect known for work on projects along Moscow’s historic Kuznetsky Most street.
-
C.
Dr. Ludmila Dontsova
Dr. Ludmila Dontsova is a dedicated and overworked oncologist in Aleksandr Solzhenitsyn’s novel "Cancer Ward," embodying the moral and emotional struggles of Soviet medical professionals.
-
D.
Maria Shubskaya
Maria Shubskaya is a Russian film producer and public figure known as the daughter of acclaimed actress and director Vera Glagoleva.
-
E.
Yu. Kolesnikova
Yu. Kolesnikova is an architect known for designing the Bagrationovskaya station in the Moscow Metro system.
- 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: V. Dobrovolskaya Triple: [Father of a Soldier, editedBy, V. Dobrovolskaya]
Generated description
V. Dobrovolskaya is a film editor known for working on the Soviet war drama "Father of a Soldier."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: V. Dobrovolskaya Target entity description: V. Dobrovolskaya is a film editor known for working on the Soviet war drama "Father of a Soldier."
-
A.
N. Shurygina
N. Shurygina is an architect known for contributing to the design and development of the Novogireyevo district in Moscow.
-
B.
N. Samoylova
N. Samoylova is an architect known for work on projects along Moscow’s historic Kuznetsky Most street.
-
C.
Dr. Ludmila Dontsova
Dr. Ludmila Dontsova is a dedicated and overworked oncologist in Aleksandr Solzhenitsyn’s novel "Cancer Ward," embodying the moral and emotional struggles of Soviet medical professionals.
-
D.
Maria Shubskaya
Maria Shubskaya is a Russian film producer and public figure known as the daughter of acclaimed actress and director Vera Glagoleva.
-
E.
Yu. Kolesnikova
Yu. Kolesnikova is an architect known for designing the Bagrationovskaya station in the Moscow Metro system.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a86d8cc81909281b22f5da87d70 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019ff527a48190bc067819a26661eb |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a0d55d688190ad278f7189711773 |
completed | May 11, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a1b4b2888190bcd8c008567c9c1e |
completed | May 11, 2026, 9:30 a.m. |
Created at: April 10, 2026, 5:45 a.m.