Triple

T14657988
Position Surface form Disambiguated ID Type / Status
Subject Law of Desire E344157 entity
Predicate hasSexualOrientationTheme P83966 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: [Law of Desire, hasSexualOrientationTheme, homosexuality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSexualOrientationTheme
Context triple: [Law of Desire, hasSexualOrientationTheme, 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. hasLGBTTheme
    Indicates that the subject includes, features, or centrally involves lesbian, gay, bisexual, or transgender themes or issues.
  • C. sexualOrientationRevealedIn
    Indicates that an entity’s sexual orientation is disclosed, made known, or becomes apparent within a specified context, medium, or situation.
  • D. hasSexualityCharacteristic chosen
    Indicates that an entity possesses a specific sexual orientation or sexuality-related characteristic.
  • E. exploresSexualOrientation
    Indicates that an entity engages in examining, questioning, or discovering their own or another’s sexual orientation.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69de6576f0208190aa94d995e797ac38 completed April 14, 2026, 4:04 p.m.
Created at: April 10, 2026, 1:27 a.m.