Triple

T20784346
Position Surface form Disambiguated ID Type / Status
Subject Male and Female (1919 film) E511587 entity
Predicate hasCostumeDesignType P90245 FINISHED
Object elaborate historical costumes 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: elaborate historical costumes | Statement: [Male and Female (1919 film), hasCostumeDesignType, elaborate historical costumes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCostumeDesignType
Context triple: [Male and Female (1919 film), hasCostumeDesignType, elaborate historical costumes]
  • A. hasCostumes
    Indicates that one entity possesses, provides, or is associated with one or more costumes.
  • B. haveDistinctCostume
    Indicates that the entities each possess a costume that is different from the others’ costumes.
  • C. costumeDesignStyle
    Indicates the stylistic approach or aesthetic characteristics used in designing a costume for a character or production.
  • D. usesCostumeDesignBasedOn
    Indicates that one entity employs or incorporates the costume design concepts, styles, or elements derived from another entity as a basis for its own costume design.
  • E. costumeDesignEmphasisOn chosen
    Indicates that a costume design places particular focus or priority on a specified element, style, feature, or thematic aspect.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28a4584819084d2d02febe47001 completed April 21, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e5c0550ec481908a0877fb2409d983 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:38 p.m.