Triple

T12302711
Position Surface form Disambiguated ID Type / Status
Subject Mikulin AM-3 E293270 entity
Predicate successor P78 FINISHED
Object Dobrynin VD-7
The Dobrynin VD-7 was a Soviet turbojet engine developed in the 1950s for high-speed military aircraft, notable for its improved performance over earlier designs.
 E975635 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: Dobrynin VD-7 | Statement: [Mikulin AM-3, successor, Dobrynin VD-7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dobrynin VD-7
Context triple: [Mikulin AM-3, successor, Dobrynin VD-7]
  • A. Firkovich B19A
    Firkovich B19A is the archival shelfmark assigned to the Leningrad Codex, the oldest complete manuscript of the Hebrew Bible in Hebrew.
  • B. K-7
    K-7 is a north–south state highway in eastern Kansas that serves as a major transportation route through multiple counties, including Miami County.
  • C. Ivchenko AI-25
    The Ivchenko AI-25 is a Soviet-designed low-bypass turbofan engine widely used to power regional jets and trainer aircraft.
  • D. Klimov VK‑105PF‑2
    The Klimov VK‑105PF‑2 was a Soviet liquid-cooled V-12 piston aircraft engine widely used in World War II fighters.
  • E. T-10
    T-10 is the station code for Nihonbashi Station on Tokyo Metro’s Tozai Line in central Tokyo.
  • 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: Dobrynin VD-7
Triple: [Mikulin AM-3, successor, Dobrynin VD-7]
Generated description
The Dobrynin VD-7 was a Soviet turbojet engine developed in the 1950s for high-speed military aircraft, notable for its improved performance over earlier designs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dobrynin VD-7
Target entity description: The Dobrynin VD-7 was a Soviet turbojet engine developed in the 1950s for high-speed military aircraft, notable for its improved performance over earlier designs.
  • A. Firkovich B19A
    Firkovich B19A is the archival shelfmark assigned to the Leningrad Codex, the oldest complete manuscript of the Hebrew Bible in Hebrew.
  • B. K-7
    K-7 is a north–south state highway in eastern Kansas that serves as a major transportation route through multiple counties, including Miami County.
  • C. Ivchenko AI-25
    The Ivchenko AI-25 is a Soviet-designed low-bypass turbofan engine widely used to power regional jets and trainer aircraft.
  • D. Klimov VK‑105PF‑2
    The Klimov VK‑105PF‑2 was a Soviet liquid-cooled V-12 piston aircraft engine widely used in World War II fighters.
  • E. T-10
    T-10 is the station code for Nihonbashi Station on Tokyo Metro’s Tozai Line in central Tokyo.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edca2648190987eef19599e340c completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7d757881908ac6af2b70a6dafe completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5cc5608190a67a888eb5136ada completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62009766c8190985fafe9ba53ae7b completed May 2, 2026, 4:02 p.m.
Created at: April 8, 2026, 9:53 p.m.