Triple

T8769117
Position Surface form Disambiguated ID Type / Status
Subject Grigori Aleksandrov E208411 entity
Predicate name P16 FINISHED
Object Grigori Aleksandrov E208411 NE FINISHED

How this triple was built (2 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: Grigori Aleksandrov | Statement: [Grigori Aleksandrov, name, Grigori Aleksandrov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grigori Aleksandrov
Context triple: [Grigori Aleksandrov, name, Grigori Aleksandrov]
  • A. Grigori Aleksandrov chosen
    Grigori Aleksandrov was a prominent Soviet film director, screenwriter, and actor known for his influential musical comedies and collaborations with Sergei Eisenstein.
  • B. Nikolai Yefremov
    Nikolai Yefremov is a Russian actor known for his roles in film and television, including a part in the science fiction thriller "The Darkest Hour."
  • C. Nikita Mikhalkov
    Nikita Mikhalkov is a prominent Russian film director, actor, and producer known internationally for works such as the Oscar-winning "Burnt by the Sun."
  • D. Mikhail Zoshchenko
    Mikhail Zoshchenko was a Soviet satirical writer known for his humorous, colloquial short stories that sharply critiqued everyday life under early Soviet rule.
  • E. Vasili Shukshin
    Vasili Shukshin was a Soviet Russian writer, film director, and actor known for his poignant portrayals of rural life and ordinary people.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eedc7188190a67d959b9af53837 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51af01e48190af674a03d0768f3b completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.