Triple

T30078492
Position Surface form Disambiguated ID Type / Status
Subject The Black Cat (1941 film) E764389 entity
Predicate mixesTone P115289 FINISHED
Object dark humor 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: dark humor | Statement: [The Black Cat (1941 film), mixesTone, dark humor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mixesTone
Context triple: [The Black Cat (1941 film), mixesTone, dark humor]
  • A. mixesElement
    Indicates that one entity combines or blends another entity or element into a mixture or composite.
  • B. channelMixing
    Indicates a relationship where content, signals, or resources from multiple channels are combined, blended, or interchanged into a unified or altered output.
  • C. mixingMethod
    Indicates the technique or process used to combine multiple components or substances into a uniform mixture.
  • D. mixType
    Indicates that one entity is combined or blended with another in a particular manner or category of mixing.
  • E. mixingStyle chosen
    Indicates how two or more elements are combined or blended together in a particular manner or technique.
  • 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_69f22472eee081909791dc372aa766e9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67d3f77b48190afef1a713cad3fa9 completed May 2, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69f673c664f08190b4d66cdc305e10db completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:02 p.m.