Triple

T33308321
Position Surface form Disambiguated ID Type / Status
Subject Rafael Silva E852797 entity
Predicate portraysSexualOrientationOfCharacter P48177 FINISHED
Object gay (Carlos Reyes) 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: gay (Carlos Reyes) | Statement: [Rafael Silva, portraysSexualOrientationOfCharacter, gay (Carlos Reyes)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portraysSexualOrientationOfCharacter
Context triple: [Rafael Silva, portraysSexualOrientationOfCharacter, gay (Carlos Reyes)]
  • 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. leadActorSexualOrientation
    Indicates the sexual orientation of the lead actor in a work or production.
  • D. fictionalSexualOrientation
    Indicates that one entity has a sexual orientation that exists only within a fictional or imagined context, rather than in real life.
  • 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_69f349679fd8819093b9b40e989440e3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69feb342994081909481ec8ec5d44928 completed May 9, 2026, 4:08 a.m.
PD Predicate disambiguation batch_69feb046e4e48190b96649aa28529cc9 completed May 9, 2026, 3:55 a.m.
Created at: May 1, 2026, 1:33 a.m.