Triple

T11839945
Position Surface form Disambiguated ID Type / Status
Subject Ilus E281619 entity
Predicate belongsToNarrativeWorld P59480 FINISHED
Object myths of Troy 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: myths of Troy | Statement: [Ilus, belongsToNarrativeWorld, myths of Troy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToNarrativeWorld
Context triple: [Ilus, belongsToNarrativeWorld, myths of Troy]
  • A. storyWorld chosen
    Indicates the fictional universe or narrative setting within which a story, event, or character exists or takes place.
  • B. hasNarrativeRole
    Indicates that an entity participates in a narrative with a specific functional role (e.g., protagonist, antagonist, narrator) relative to the story.
  • C. hasPartInNarrative
    Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
  • D. belongsToFictionalContinent
    Indicates that something is located on, associated with, or a part of a specific fictional continent within an imagined world.
  • E. narrativeConnection
    Indicates a meaningful relationship between elements within a narrative, such as events, characters, or scenes, that links them in terms of plot, causality, or thematic continuity.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a63106b48190917817ec40d21a49 completed April 10, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69d8a254a57481908a1e6ad97919c416 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.