Triple

T22040644
Position Surface form Disambiguated ID Type / Status
Subject Aviadvigatel PS-90A E544628 entity
Predicate developer P73 FINISHED
Object Aviadvigatel NE NERFINISHED

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: Aviadvigatel | Statement: [Aviadvigatel PS-90A, developer, Aviadvigatel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aviadvigatel
Context triple: [Aviadvigatel PS-90A, developer, Aviadvigatel]
  • A. Aviadvigatel chosen
    Aviadvigatel is a Russian aircraft engine design and manufacturing company best known for developing turbofan engines used on various civilian and military aircraft.
  • B. Mosfilm
    Mosfilm is one of Russia’s largest and oldest film studios, renowned for producing many of the Soviet Union’s most iconic movies.
  • C. Anouchka Films
    Anouchka Films is a film production company known for producing works such as Jean-Luc Godard’s 1967 political drama "La Chinoise."
  • D. Vides Cinematografica
    Vides Cinematografica was an Italian film production company active in the mid-20th century, known for producing notable Italian and international cinema.
  • E. Skreba Films
    Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12828fc788190a22c0e9c2372656b completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.