Triple

T20014478
Position Surface form Disambiguated ID Type / Status
Subject Daniela Mercury E494676 entity
Predicate genre P14 FINISHED
Object MPB 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: MPB | Statement: [Daniela Mercury, genre, MPB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPB
Context triple: [Daniela Mercury, genre, MPB]
  • A. MPB
    MPB is the national governing body responsible for organizing and supporting Hungary’s participation in the Paralympic Games and promoting sports for athletes with disabilities.
  • B. MPB chosen
    MPB (Música Popular Brasileira) is a Brazilian music genre that blends traditional styles like samba and bossa nova with contemporary influences and sophisticated lyrics.
  • C. MMPB
    MMPB is the ICAO airport code for Puebla International Airport, a commercial airport serving the city of Puebla in central Mexico.
  • D. MPD
    MPD is the primary law enforcement agency responsible for policing Washington, D.C., the capital of the United States.
  • E. MPD
    MPD is the common abbreviation for the Tokyo Metropolitan Police Department, the primary law enforcement agency responsible for policing Tokyo, Japan.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623a9bd48190a3344a07540170c7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.