Triple

T18233099
Position Surface form Disambiguated ID Type / Status
Subject Back to Me E436594 entity
Predicate producer P490 FINISHED
Object Stereotypes NE NERFINISHED

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: Stereotypes | Statement: [Back to Me, producer, Stereotypes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stereotypes
Context triple: [Back to Me, producer, Stereotypes]
  • A. The Stereotype
    The Stereotype is a work titled within the broader context of the "Manifesto" project, likely serving as a distinct section or piece that explores themes related to generalized or clichéd representations.
  • B. The Stereotypes chosen
    The Stereotypes are a Grammy-winning American songwriting and production team known for crafting hit pop and R&B records for major artists like Bruno Mars and Justin Bieber.
  • C. Prejudice
    Prejudice is a preconceived, often unfavorable judgment or opinion about people or situations formed without adequate knowledge, reason, or experience.
  • D. Double Standards
    "Double Standards" is a track from the hip-hop album *Life of a Don*, known for its introspective lyrics and atmospheric, melodic production.
  • E. Attitudes
    Attitudes was a popular 1980s American daytime talk show on the Lifetime network, known for its focus on women's issues and co-hosted by Linda Dano.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b414308190bc7dd8e73c0a362c completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.