Triple

T5520499
Position Surface form Disambiguated ID Type / Status
Subject Thomas Hudson E144792 entity
Predicate narrativeStructureRole P20934 FINISHED
Object central viewpoint character 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: central viewpoint character | Statement: [Thomas Hudson, narrativeStructureRole, central viewpoint character]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeStructureRole
Context triple: [Thomas Hudson, narrativeStructureRole, central viewpoint character]
  • A. 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.
  • B. roleInStories
    Indicates the specific function, position, or character part an entity plays within one or more stories.
  • C. moralNarrativeRole
    Indicates the role an entity plays within a moral storyline or ethical framing, such as being portrayed as virtuous, villainous, victimized, or morally ambiguous.
  • D. narrativeCharacter
    Indicates that one entity functions as a character within the narrative or story associated with another entity.
  • E. hasNarrativeRole chosen
    Indicates that an entity participates in a narrative with a specific functional role (e.g., protagonist, antagonist, narrator) relative to the story.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f7082ac8190a372fa75e8dec6a4 completed March 22, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69c01b0a06348190b39ac9fe80d2836a completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:33 p.m.