Triple

T29472677
Position Surface form Disambiguated ID Type / Status
Subject Семнадцать мгновений весны E747553 entity
Predicate актёрскийСостав P36850 FINISHED
Object Леонид Броневой
Леонид Броневой — советский и российский актёр театра и кино, народный артист СССР, широко известный по ярким характерным ролям в фильмах и спектаклях.
 E1939770 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: Леонид Броневой | Statement: [Семнадцать мгновений весны, актёрскийСостав, Леонид Броневой]
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: Леонид Броневой
Triple: [Семнадцать мгновений весны, актёрскийСостав, Леонид Броневой]
Generated description
Леонид Броневой — советский и российский актёр театра и кино, народный артист СССР, широко известный по ярким характерным ролям в фильмах и спектаклях.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: актёрскийСостав
Context triple: [Семнадцать мгновений весны, актёрскийСостав, Леонид Броневой]
  • A. originalCast
    Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
  • B. filmCoStar
    Indicates that two people appeared together as co-actors in the same film.
  • C. playedInEnsembleWith
    Indicates that one entity has performed together with another as members of the same musical ensemble or group.
  • D. partOfCastEnsembleWith chosen
    Indicates that two or more performers are members of the same cast ensemble in a shared production.
  • E. originalCastPerformer
    Indicates that a performer was part of the original cast in the first production or release of a 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_69f66bd2451c8190ad14604068f308d8 completed May 2, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28fb869a108190bed5a67e503222a3 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28fd8eeec88190967745b3d877c786 completed June 10, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_6a28fe2639308190a88b24ca38978e50 completed June 10, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 3:58 p.m.