Triple

T551427
Position Surface form Disambiguated ID Type / Status
Subject Queer as Folk E11847 entity
Predicate genre P14 FINISHED
Object LGBT E1512 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: LGBT | Statement: [Queer as Folk, genre, LGBT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LGBT
Context triple: [Queer as Folk, genre, LGBT]
  • A. LGBT rights movement
    The LGBT rights movement is a global social and political campaign advocating for equal rights, legal protections, and social acceptance for lesbian, gay, bisexual, and transgender people.
  • B. LGBTPeople chosen
    LGBTPeople are individuals whose sexual orientation or gender identity differs from heterosexual and cisgender norms, including lesbian, gay, bisexual, transgender, and other queer identities.
  • C. Gay
    Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • D. GNQ
    GNQ is the three-letter ISO 3166-1 alpha-3 country code assigned to Equatorial Guinea.
  • E. Stonewall
    Stonewall was the famous nickname of Confederate General Thomas J. "Stonewall" Jackson, renowned for his steadfastness during the American Civil War.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499030cf4819089b9163102255e49 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e0314c84819091d8aca4be0733f3 completed March 2, 2026, 12:56 a.m.
Created at: March 1, 2026, 7:32 p.m.