Triple

T3127055
Position Surface form Disambiguated ID Type / Status
Subject Paranoid E65321 entity
Predicate producer P490 FINISHED
Object Plain Pat E65286 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: Plain Pat | Statement: [Paranoid, producer, Plain Pat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plain Pat
Context triple: [Paranoid, producer, Plain Pat]
  • A. Plain Pat chosen
    Plain Pat is an American hip-hop producer and A&R known for his influential work with artists like Kanye West and Kid Cudi.
  • B. Basic English
    Basic English is a simplified form of the English language that uses a restricted core vocabulary to make learning and international communication easier.
  • C. Real Simple
    Real Simple is a lifestyle magazine and media brand focused on practical tips for home, organization, cooking, and everyday living.
  • D. Common
    Common is an American rapper, actor, and activist known for his socially conscious lyrics and influential role in conscious hip-hop.
  • E. Public School English
    Public School English is a traditional prestige accent of British English historically associated with educated speakers from elite public schools and the upper classes.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada544cb648190b5ed430dbd561d52 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224d42fc4819095a0f6aec59db2c1 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.