Triple

T10141350
Position Surface form Disambiguated ID Type / Status
Subject Viktor Abakumov E231590 entity
Predicate employer P7 FINISHED
Object MGB E41753 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: MGB | Statement: [Viktor Abakumov, employer, MGB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MGB
Context triple: [Viktor Abakumov, employer, MGB]
  • A. MGB
    MGB is a Swiss narrow-gauge railway company operating scenic mountain routes through the Alps, including connections to famous lines like the Glacier Express.
  • B. MGB chosen
    MGB was the Soviet Union’s Ministry of State Security, a key secret police and intelligence agency that operated before being reorganized into the KGB.
  • C. MG T-Type
    The MG T-Type is a series of classic British two-seat sports cars produced by MG from the mid-1930s to the mid-1950s, renowned for their nimble handling and iconic pre- and post-war roadster styling.
  • D. Lotus Elan
    The Lotus Elan is a lightweight British sports car renowned for its agile handling, innovative engineering, and influence on later performance car design.
  • E. British Leyland Mini 1000
    The British Leyland Mini 1000 is a compact British city car best known worldwide as the iconic yellow vehicle driven by Rowan Atkinson’s character in the television series "Mr. Bean."
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e603d4548190a561e735c603946f completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.