Triple

T18030679
Position Surface form Disambiguated ID Type / Status
Subject Making the Band E431379 entity
Predicate subjectOf P38 FINISHED
Object Da Band 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: Da Band | Statement: [Making the Band, subjectOf, Da Band]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Da Band
Context triple: [Making the Band, subjectOf, Da Band]
  • A. Da Band chosen
    Da Band was a hip hop group formed by Sean "Diddy" Combs on the MTV reality series "Making the Band," known for its brief but high-profile run in the early 2000s.
  • B. Butajira
    Butajira is a town in central Ethiopia known as an administrative and commercial center in the Gurage-inhabited highlands.
  • C. Deck
    Deck, better known as Inspectah Deck, is an American rapper and producer famed as a core member of the Wu-Tang Clan and for his intricate, influential verses and beats.
  • D. Sakonnet band
    The Sakonnet band was a local group of the Wampanoag people who inhabited the Sakonnet region of what is now southeastern Rhode Island.
  • E. The Bananas
    The Bananas are an American punk rock band known for their energetic, lo-fi sound and association with the DIY underground music scene.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be35a70081909d24d36506d18131 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.