Triple

T22257806
Position Surface form Disambiguated ID Type / Status
Subject Danger Doom E550136 entity
Predicate associatedAct P37 FINISHED
Object KMD 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: KMD | Statement: [Danger Doom, associatedAct, KMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMD
Context triple: [Danger Doom, associatedAct, KMD]
  • A. KMD
    KMD is the commonly used abbreviation for the Faculty of Fine Art, Music and Design at the University of Bergen in Norway, encompassing education and research in visual arts, music, and design.
  • B. KMD chosen
    KMD was an early 1990s hip-hop group known for its socially conscious, Afrocentric lyrics and for launching the career of rapper MF DOOM (then known as Zev Love X).
  • C. KMDT
    KMDT is the ICAO airport code for Harrisburg International Airport, a commercial airport serving the Harrisburg, Pennsylvania metropolitan area.
  • D. SKMD
    SKMD is the ICAO airport code assigned to Olaya Herrera Airport in Medellín, Colombia.
  • E. KMF
    KMF is the ISO 4217 currency code for the Comorian franc, the official monetary unit of the Comoros.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c3cf64819087e270a1f50e629e completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.