Triple

T30691614
Position Surface form Disambiguated ID Type / Status
Subject Александр Николаевич Бенуа E781340 entity
Predicate написал P2831 FINISHED
Object «История живописи всех времён и народов»
«История живописи всех времён и народов» — фундаментальный труд по истории мирового изобразительного искусства, в котором систематически рассматривается развитие живописи разных эпох и культур.
 E1925331 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: «История живописи всех времён и народов» | Statement: [Александр Николаевич Бенуа, написал, «История живописи всех времён и народов»]
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: «История живописи всех времён и народов»
Triple: [Александр Николаевич Бенуа, написал, «История живописи всех времён и народов»]
Generated description
«История живописи всех времён и народов» — фундаментальный труд по истории мирового изобразительного искусства, в котором систематически рассматривается развитие живописи разных эпох и культур.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: написал
Context triple: [Александр Николаевич Бенуа, написал, «История живописи всех времён и народов»]
  • A. wrote chosen
    Indicates that an entity is the author or creator of a written work involving another entity.
  • B. wroteIn
    Indicates that an entity authored or composed something using a particular language, medium, or writing system.
  • C. writtenTo
    Indicates that something has been addressed or directed in written form to a particular recipient.
  • D. isWritten
    Indicates that a text, document, or content has been created or recorded in written form by an agent.
  • E. writtenIn
    Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
  • 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_6a28710ddbe081908b21e1e7a1f3d656 completed June 9, 2026, 8:01 p.m.
NEDg Description generation batch_6a2871a16c70819080a6f5342be22985 completed June 9, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_6a2872b4c99481908fa2e34f760ad382 completed June 9, 2026, 8:08 p.m.
PD Predicate disambiguation batch_69f6861170d08190bb98be609d436f84 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:33 p.m.