Triple

T12699000
Position Surface form Disambiguated ID Type / Status
Subject De-Lovely E303406 entity
Predicate portraysSexualOrientationOfProtagonist P48177 FINISHED
Object homosexuality LITERAL 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: homosexuality | Statement: [De-Lovely, portraysSexualOrientationOfProtagonist, homosexuality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portraysSexualOrientationOfProtagonist
Context triple: [De-Lovely, portraysSexualOrientationOfProtagonist, homosexuality]
  • A. sexualOrientation
    Indicates an entity’s enduring pattern of romantic or sexual attraction toward others, typically in terms of the genders or sexes to which it is attracted.
  • B. sexualOrientationRevealedIn chosen
    Indicates that an entity’s sexual orientation is disclosed, made known, or becomes apparent within a specified context, medium, or situation.
  • C. protagonistGenderIdentity
    Indicates the gender identity attributed to or expressed by the protagonist in a given context.
  • D. leadActorSexualOrientation
    Indicates the sexual orientation of the lead actor in a work or production.
  • E. hasLGBTCharacter
    Indicates that the subject includes, features, or is associated with one or more characters who identify as lesbian, gay, bisexual, or transgender.
  • F. None of above.

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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d962a32c6481908ddaddae4ea267bf completed April 10, 2026, 8:50 p.m.
PD Predicate disambiguation batch_69d960be63f081908a5ef5ef17a311bf completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:22 p.m.