Triple
T30691594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Александр Николаевич Бенуа |
E781340
|
entity |
| Predicate | отец |
P1908
|
FINISHED |
| Object |
Николай Леонтьевич Бенуа
Николай Леонтьевич Бенуа был российским архитектором из известной художественной династии Бенуа, внёсшим заметный вклад в архитектуру Санкт-Петербурга.
|
E1929987
|
NE FINISHED |
How this triple was built (3 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: Николай Леонтьевич Бенуа | Statement: [Александр Николаевич Бенуа, отец, Николай Леонтьевич Бенуа]
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: Николай Леонтьевич Бенуа Triple: [Александр Николаевич Бенуа, отец, Николай Леонтьевич Бенуа]
Generated description
Николай Леонтьевич Бенуа был российским архитектором из известной художественной династии Бенуа, внёсшим заметный вклад в архитектуру Санкт-Петербурга.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: отец Context triple: [Александр Николаевич Бенуа, отец, Николай Леонтьевич Бенуа]
-
A.
fatherWas
Indicates that one entity was the male parent (father) of another entity in the past.
-
B.
fatherFrom
chosen
Indicates a parental relationship where one entity is the biological or legal father of another entity.
-
C.
motherFather
Indicates that the two entities are the biological parents (mother and father) of a child or offspring.
-
D.
fatherType
Indicates that one entity is the father of another, specifying a paternal parent-child relationship.
-
E.
fatherPosition
Indicates the spatial or positional relationship occupied by a father relative to another referenced entity or location.
- F. None of above.
Provenance (6 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b8875ac8190bcd509983fb51b01 |
completed | May 2, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2898f92cc0819095ef157b802c08b0 |
completed | June 9, 2026, 10:51 p.m. |
| NEDg | Description generation | batch_6a289987c9988190a355050ae3113a08 |
completed | June 9, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a289d68dafc8190a4624b6bc4f54b9c |
completed | June 9, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:33 p.m.