Triple

T17505078
Position Surface form Disambiguated ID Type / Status
Subject Randy Oglesby E426291 entity
Predicate hasNotableRoleInGenre P27764 FINISHED
Object science fiction television series 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: science fiction television series | Statement: [Randy Oglesby, hasNotableRoleInGenre, science fiction television series]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableRoleInGenre
Context triple: [Randy Oglesby, hasNotableRoleInGenre, science fiction television series]
  • A. hasGenreInRoles
    Indicates that an entity participates in roles associated with a particular genre or set of genres.
  • B. hasNotableGenre
    Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
  • C. hasNotableRoleIn chosen
    Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
  • D. hasNotableGenreContext
    Indicates that an entity’s genre is significant or noteworthy in understanding its context, interpretation, or impact.
  • E. knownForGenre
    Indicates that an entity is recognized or notable for working in, producing, or being associated with a particular genre.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45214d44c8190b1bf04bf24ab8e81 completed April 19, 2026, 3:55 a.m.
PD Predicate disambiguation batch_69e3b4f5fbcc8190a6ea9639bf5650da completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:48 a.m.