Triple

T11172206
Position Surface form Disambiguated ID Type / Status
Subject Bless the Woman E264301 entity
Predicate castMember P1668 FINISHED
Object Oleg Yankovsky
Oleg Yankovsky was a renowned Soviet and Russian film and theater actor celebrated for his nuanced performances and leading roles in classics of Russian cinema.
 E1168925 NE FINISHED

How this triple was built (4 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: Oleg Yankovsky | Statement: [Bless the Woman, castMember, Oleg Yankovsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oleg Yankovsky
Context triple: [Bless the Woman, castMember, Oleg Yankovsky]
  • A. Oleg Losik
    Oleg Losik was a Soviet military commander known for his leadership role during the Sino–Soviet border conflict of 1969.
  • B. Dmitry Shimanovsky
    Dmitry Shimanovsky was a notable figure in Russian history significant enough to have the town of Shimanovsk named in his honor.
  • C. Alexey Gornostaev
    Alexey Gornostaev was a 19th-century Russian architect known for his influential work in the Russian Revival style.
  • D. Pavel Dybenko
    Pavel Dybenko was a Bolshevik revolutionary and naval leader who played a prominent role in the Russian Revolution and early Soviet military affairs.
  • E. Dmitry Dokhturov
    Dmitry Dokhturov was a Russian general of the Napoleonic Wars, noted for his capable leadership in several key engagements against Napoleon’s forces.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Oleg Yankovsky
Triple: [Bless the Woman, castMember, Oleg Yankovsky]
Generated description
Oleg Yankovsky was a renowned Soviet and Russian film and theater actor celebrated for his nuanced performances and leading roles in classics of Russian cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oleg Yankovsky
Target entity description: Oleg Yankovsky was a renowned Soviet and Russian film and theater actor celebrated for his nuanced performances and leading roles in classics of Russian cinema.
  • A. Oleg Losik
    Oleg Losik was a Soviet military commander known for his leadership role during the Sino–Soviet border conflict of 1969.
  • B. Dmitry Shimanovsky
    Dmitry Shimanovsky was a notable figure in Russian history significant enough to have the town of Shimanovsk named in his honor.
  • C. Alexey Gornostaev
    Alexey Gornostaev was a 19th-century Russian architect known for his influential work in the Russian Revival style.
  • D. Pavel Dybenko
    Pavel Dybenko was a Bolshevik revolutionary and naval leader who played a prominent role in the Russian Revolution and early Soviet military affairs.
  • E. Dmitry Dokhturov
    Dmitry Dokhturov was a Russian general of the Napoleonic Wars, noted for his capable leadership in several key engagements against Napoleon’s forces.
  • F. None of above. chosen

Provenance (5 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff677935408190a28af4cd34d82aa4 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff67f64d2c81908fd2d8a09cd0b369 completed May 9, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69ff6888a85481909e8cdd34ed230fa4 completed May 9, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:29 p.m.