Triple

T8626835
Position Surface form Disambiguated ID Type / Status
Subject Old and New E204298 entity
Predicate screenwriter P2831 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: [Old and New, screenwriter, Grigori Aleksandrov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grigori Aleksandrov
Context triple: [Old and New, screenwriter, 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472b8fa481909f52f83ea210483e completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc9abd1081909d45af7498ec7c34 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:26 p.m.