Triple

T29327001
Position Surface form Disambiguated ID Type / Status
Subject Luis (Marvel Cinematic Universe) E743676 entity
Predicate comicTimingStyle P166955 FINISHED
Object rapid-fire storytelling 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: rapid-fire storytelling | Statement: [Luis (Marvel Cinematic Universe), comicTimingStyle, rapid-fire storytelling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: comicTimingStyle
Context triple: [Luis (Marvel Cinematic Universe), comicTimingStyle, rapid-fire storytelling]
  • A. comicType
    Indicates the specific category or format of a comic associated with an entity (e.g., strip, graphic novel, webcomic).
  • B. comicEra
    Indicates the historical or stylistic period within which a comic was created or is categorized.
  • C. hasComicStyle
    Indicates that one entity is characterized by, presented in, or associated with a particular comic or cartoon-like visual style defined by the other entity.
  • D. comicFunction
    Indicates a relationship where something serves a humorous or entertainment role, such as providing comedy, comic relief, or a joking purpose within a context.
  • E. statusInComicSeries
    Indicates the role or condition a character or entity holds within the context of a specific comic series (e.g., main, supporting, deceased, cameo).
  • F. None of above. chosen

Provenance (4 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_69f09125f784819080f4e9fce9fe624f completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f6689671f881909a1e1b2bfa20b17e completed May 2, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69f663362c008190a22afed262f1e426 completed May 2, 2026, 8:48 p.m.
PDg Predicate description generation batch_69f6645a615481909b53d94512ecbaf1 completed May 2, 2026, 8:53 p.m.
Created at: April 28, 2026, 1:27 p.m.