Triple

T21019004
Position Surface form Disambiguated ID Type / Status
Subject Boogie Down Productions E517752 entity
Predicate associatedAct P37 FINISHED
Object Ms. Melodie 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: Ms. Melodie | Statement: [Boogie Down Productions, associatedAct, Ms. Melodie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ms. Melodie
Context triple: [Boogie Down Productions, associatedAct, Ms. Melodie]
  • A. Ms. Melodie chosen
    Ms. Melodie was an American hip hop MC from Brooklyn, known for her association with the late-1980s conscious rap movement and her work alongside KRS-One.
  • B. Melody Malone
    Melody Malone is a fictional detective persona adopted by River Song in the Doctor Who universe, notably featured in the noir-inspired episode "The Angels Take Manhattan."
  • C. Melody Valentine
    Melody Valentine is the bubbly, sweet-natured drummer of the fictional rock band Josie and the Pussycats, known for her ditzy charm and comedic personality.
  • D. Melissa
    "Melissa" is a classic, melodic Southern rock ballad by the Allman Brothers Band, known for its gentle acoustic sound and reflective lyrics.
  • E. Melissa
    Melissa is a small but rapidly growing suburban city in North Texas, located within the Dallas–Fort Worth metropolitan area.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5b6af4819081fd3aa5212f17a5 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.