Triple

T5160499
Position Surface form Disambiguated ID Type / Status
Subject How Low E116423 entity
Predicate recordLabel P1500 FINISHED
Object Disturbing tha Peace E117208 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: Disturbing tha Peace | Statement: [How Low, recordLabel, Disturbing tha Peace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disturbing tha Peace
Context triple: [How Low, recordLabel, Disturbing tha Peace]
  • A. Disturbing tha Peace chosen
    Disturbing tha Peace is an American hip hop record label and collective founded by rapper Ludacris and known for releasing Southern rap music in the 2000s.
  • B. Disturbing the Peace
    Disturbing the Peace is a novel by American author Richard Yates that explores the psychological unraveling and midlife crisis of a troubled salesman.
  • C. Troublemaker
    Troublemaker is a card in the Uno game that typically introduces disruptive or challenging effects to alter normal gameplay.
  • D. Bring da Ruckus
    "Bring da Ruckus" is the hard-hitting opening track by the Wu-Tang Clan that sets the raw, gritty tone for their landmark debut album.
  • E. Riding the Rap
    "Riding the Rap" is a crime novel by Elmore Leonard featuring U.S. Marshal Raylan Givens as he navigates a kidnapping scheme in South Florida.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79073a54819080cd1e8de6fe906a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf88e24e3c819083d3f71dcb31194c completed March 22, 2026, 6:14 a.m.
Created at: March 20, 2026, 1:44 p.m.