Triple

T17863433
Position Surface form Disambiguated ID Type / Status
Subject Shazad Latif as Ash Tyler E446129 entity
Predicate hasStoryArcTheme P102764 FINISHED
Object identityConflict 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: identityConflict | Statement: [Shazad Latif as Ash Tyler, hasStoryArcTheme, identityConflict]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStoryArcTheme
Context triple: [Shazad Latif as Ash Tyler, hasStoryArcTheme, identityConflict]
  • A. hasThemeInStory
    Indicates that a particular theme is present or plays a significant role within a given story.
  • B. themeInArc chosen
    Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
  • C. notableStoryArc
    Indicates that there exists a significant or prominent narrative storyline or plot development involving the subject.
  • D. hasCentralTheme
    Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
  • E. hasMainThemeCharacter
    Indicates that a work (such as a story, film, or game) features a specific character as its central or primary thematic focus.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e49791b0c08190b04a426bd274065d completed April 19, 2026, 8:51 a.m.
PD Predicate disambiguation batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:17 a.m.