Triple

T16993185
Position Surface form Disambiguated ID Type / Status
Subject Vada Nobles E412243 entity
Predicate collaboratedWith P435 FINISHED
Object City High E971067 NE FINISHED

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: City High | Statement: [Vada Nobles, collaboratedWith, City High]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City High
Context triple: [Vada Nobles, collaboratedWith, City High]
  • A. City High chosen
    City High was an American R&B/hip-hop soul trio best known for their early-2000s hit "What Would You Do?" and their socially conscious lyrics.
  • B. City Boys
    "City Boys" is a popular Afrobeats song by Nigerian artist Burna Boy, known for its energetic production and confident, hedonistic lyrics.
  • C. City Rockers
    City Rockers is a British independent record label known for releasing electronic and dance music, particularly in the early 2000s.
  • D. Mad High
    "Mad High" is a track by 21 Savage and Metro Boomin from their collaborative trap album *Savage Mode*.
  • E. Big School
    Big School is a British television sitcom starring Frances de la Tour, set in a dysfunctional secondary school and centered on the comedic antics of its staff and students.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d28535788190bdfcb6201a9024b5 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc16fbdc819095411a056b9942c3 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.