Triple

T8484700
Position Surface form Disambiguated ID Type / Status
Subject Nibiru E200803 entity
Predicate producer P490 FINISHED
Object Hi Music Hi Flow E735708 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: Hi Music Hi Flow | Statement: [Nibiru, producer, Hi Music Hi Flow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hi Music Hi Flow
Context triple: [Nibiru, producer, Hi Music Hi Flow]
  • A. Hi Music Hi Flow chosen
    Hi Music Hi Flow is a music production project or label associated with the producer Aura, known for creating and releasing their musical works.
  • B. Ñengo Flow
    Ñengo Flow is a Puerto Rican reggaeton and Latin trap artist known for his gritty street lyrics and influential role in the underground urban music scene.
  • C. HiFi
    HiFi is a common shorthand nickname for Historic Filipinotown, a Los Angeles neighborhood known for its Filipino American community and cultural heritage.
  • D. HIH
    HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
  • E. Hiw
    Hiw is an Oceanic language spoken on Hiw Island in northern Vanuatu, known for its small speaker population and distinctive phonological features.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe539b70c81909f8f045312f0d5f8 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4df197c48190812c5287119e5528 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:12 p.m.