Triple

T1606843
Position Surface form Disambiguated ID Type / Status
Subject Jake Pentecost E34523 entity
Predicate storyRole P23263 FINISHED
Object protagonist 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: protagonist | Statement: [Jake Pentecost, storyRole, protagonist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: storyRole
Context triple: [Jake Pentecost, storyRole, protagonist]
  • A. featuresCharacterRole chosen
    Indicates that a work includes a character appearing in a specific narrative or functional role.
  • B. literaryRole
    Indicates the specific narrative or functional role an entity holds within a literary work or text.
  • C. narratorRole
    Indicates that one entity serves as the narrator of another entity (such as a story, text, or media work), specifying the narrative role or function it performs.
  • D. creativeRole
    Indicates that an entity holds a specific creative function or responsibility in relation to another entity, such as a work or project.
  • E. protagonistType
    Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a93fa6926081908bc78d15c0be3185 completed March 5, 2026, 8:32 a.m.
PD Predicate disambiguation batch_69a907c35f848190a2428c52e81d013e completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.