Triple

T17990731
Position Surface form Disambiguated ID Type / Status
Subject Child 44 E430362 entity
Predicate protagonistAffiliation P629 FINISHED
Object MGB 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: MGB | Statement: [Child 44, protagonistAffiliation, MGB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MGB
Context triple: [Child 44, protagonistAffiliation, MGB]
  • A. MGB
    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.
  • B. 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.
  • C. MGB
    MGB is the Mines and Geosciences Bureau, a Philippine government agency responsible for the conservation, management, and development of the country’s mineral resources and geosciences services.
  • D. MGB Roadster
    The MGB Roadster is a classic British two-seat convertible sports car produced by MG from the early 1960s through the 1980s, renowned for its simple mechanics and iconic styling.
  • E. MGB GT
    The MGB GT is a classic British sports hatchback produced from the 1960s to the 1980s, known for its Pininfarina-styled fastback body, practicality, and enduring enthusiast following.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.