Triple

T6886196
Position Surface form Disambiguated ID Type / Status
Subject Liam Sullivan E158924 entity
Predicate genreOfRoles P57938 FINISHED
Object villainous characters 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: villainous characters | Statement: [Liam Sullivan, genreOfRoles, villainous characters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genreOfRoles
Context triple: [Liam Sullivan, genreOfRoles, villainous characters]
  • A. genreRole
    Indicates a relationship where an entity holds a specific functional or categorical role within a particular genre.
  • B. genreOfOccupation
    Indicates the specific genre or category that characterizes a particular occupation or professional role.
  • C. hasGenreInRoles chosen
    Indicates that an entity participates in roles associated with a particular genre or set of genres.
  • D. cultRole
    Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
  • E. creativeRole
    Indicates that an entity holds a specific creative function or responsibility in relation to another entity, such as a work or project.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d90bc32c8190baf5bf785146f3e8 completed March 27, 2026, 7:22 p.m.
PD Predicate disambiguation batch_69c6d7b53e9881909ec298daa9f1913b completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:23 p.m.