Triple

T29471930

Position	Surface form	Disambiguated ID	Type / Status
Subject	Служебный роман	`E747531`	entity
Predicate	режиссёр	`P255`	FINISHED
Object	Эльдар Рязанов Эльдар Рязанов — советский и российский кинорежиссёр, сценарист и актёр, классик отечественной кинокомедии, создатель таких фильмов, как «Ирония судьбы» и «Гараж».	`E1873452`	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: Эльдар Рязанов | Statement: [Служебный роман, режиссёр, Эльдар Рязанов]

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: Эльдар Рязанов
Triple: [Служебный роман, режиссёр, Эльдар Рязанов]

Generated description

Эльдар Рязанов — советский и российский кинорежиссёр, сценарист и актёр, классик отечественной кинокомедии, создатель таких фильмов, как «Ирония судьбы» и «Гараж».

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: режиссёр
Context triple: [Служебный роман, режиссёр, Эльдар Рязанов]

A. director chosen
Indicates that one entity serves as the director (creative or managerial leader) of another entity, such as a film, organization, or project.
B. directorDescribedAs
Indicates that a director is characterized or portrayed using a particular description, label, or set of attributes.
C. directorSince
Indicates that one entity has held the role of director for another entity starting from a specified point in time.
D. castingDirectorOf
Indicates that a person serves as the casting director responsible for selecting the cast of a particular production or project.
E. directors
Indicates that one entity serves as a director (or is on the board) of another entity, such as an organization or company.
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_69f66babf5e08190b8e1007546f3881a`	completed	May 2, 2026, 9:25 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a262d505c1081908c514a99a0b5561e`	completed	June 8, 2026, 2:47 a.m.
NEDg	Description generation	`batch_6a2631dbbb548190b25d75542a304887`	completed	June 8, 2026, 3:07 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2635be200c8190a1b9b728f386f793`	completed	June 8, 2026, 3:23 a.m.
PD	Predicate disambiguation	`batch_69f66339175c819080bd70f0ff7057b1`	completed	May 2, 2026, 8:48 p.m.

Created at: April 28, 2026, 3:57 p.m.