Triple

T31172846
Position Surface form Disambiguated ID Type / Status
Subject The Masqueraders E794659 entity
Predicate protagonistGenderDisguise P146968 FINISHED
Object female protagonist disguised as man 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: female protagonist disguised as man | Statement: [The Masqueraders, protagonistGenderDisguise, female protagonist disguised as man]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: protagonistGenderDisguise
Context triple: [The Masqueraders, protagonistGenderDisguise, female protagonist disguised as man]
  • A. protagonistGenderIdentity
    Indicates the gender identity attributed to or expressed by the protagonist in a given context.
  • B. hasCrossDressingProtagonist chosen
    Indicates that the main character in the work regularly dresses in clothing traditionally associated with another gender.
  • C. protagonistGenderSelectable
    Indicates that the gender of the story’s main character can be chosen or customized by the player or user.
  • D. protagonistBiologicalSex
    Indicates the biological sex assigned to the protagonist in the context of the described scenario or work.
  • E. protagonistGenderIdentityTheme
    Indicates that the work explores themes related to the protagonist’s gender identity and its development, expression, or impact within the narrative.
  • 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_69f224d5b9708190b6ca79ad2fd3a28a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f6f969b4cc8190afb473a2d8b110bc completed May 3, 2026, 7:29 a.m.
Created at: April 29, 2026, 9:07 p.m.