Triple

T29472675
Position Surface form Disambiguated ID Type / Status
Subject Семнадцать мгновений весны E747553 entity
Predicate главныйАктёр P166850 FINISHED
Object Вячеслав Тихонов
Вячеслав Тихонов был выдающимся советским и российским актёром театра и кино, ставшим всенародно известным благодаря образу разведчика Штирлица и другим культовым ролям.
 E1912791 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: Вячеслав Тихонов | Statement: [Семнадцать мгновений весны, главныйАктёр, Вячеслав Тихонов]
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: Вячеслав Тихонов
Triple: [Семнадцать мгновений весны, главныйАктёр, Вячеслав Тихонов]
Generated description
Вячеслав Тихонов был выдающимся советским и российским актёром театра и кино, ставшим всенародно известным благодаря образу разведчика Штирлица и другим культовым ролям.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: главныйАктёр
Context triple: [Семнадцать мгновений весны, главныйАктёр, Вячеслав Тихонов]
  • A. leadRoleActor chosen
    Indicates that an actor performs a leading or principal role in a work or production.
  • B. primaryActor
    Indicates that the referenced entity is the main participant or most central party responsible for the action or event in the relationship.
  • C. hasMainRole
    Indicates that an entity holds the primary or most significant role in relation to another entity or context.
  • D. majorActor
    Indicates that the subject is a primary or leading participant in the action, event, or production involving the object.
  • E. originalLeadActorRole
    Indicates the role originally played by a particular lead actor in a given production or work.
  • 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_69f0bd42cf308190bb01b20bc5b7c2d0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a278919be948190bee0a47d244a020e completed June 9, 2026, 3:31 a.m.
NEDg Description generation batch_6a278b94f650819096c9736b86c1d796 completed June 9, 2026, 3:42 a.m.
NED2 Entity disambiguation (via description) batch_6a278bf5b3e08190bdaedc14e6cf7c7d completed June 9, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69f66ec5bf508190ad088b89455252bd completed May 2, 2026, 9:38 p.m.
Created at: April 28, 2026, 3:58 p.m.