Triple

T16287711
Position Surface form Disambiguated ID Type / Status
Subject Be Good E395431 entity
Predicate hasTrack P3284 FINISHED
Object Bling Bling E1098095 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: Bling Bling | Statement: [Be Good, hasTrack, Bling Bling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bling Bling
Context triple: [Be Good, hasTrack, Bling Bling]
  • A. Bling Bling chosen
    "Bling Bling" is a late-1990s Southern hip-hop track by B.G. that popularized the term "bling" in mainstream culture to describe flashy, ostentatious jewelry and wealth.
  • B. Candy Bling
    "Candy Bling" is a nostalgic R&B ballad by Mariah Carey from her album *Memoirs of an Imperfect Angel*, reflecting on young love and past relationships.
  • C. Glitz
    Glitz is a crime novel by Elmore Leonard that follows a tough Miami cop entangled with a vengeful ex-con and the seedy underworld of Atlantic City.
  • D. Bling (Confession of a King)
    "Bling (Confession of a King)" is a rock song by The Killers known for its anthemic sound and reflective lyrics about ambition, faith, and personal struggle.
  • E. Glitter
    Glitter is a 2001 musical romantic drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York City.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24915a5948190a11b8e83b7974dda completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017caaa448190a5034ddbd90d2fd5 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.