Triple

T4757399
Position Surface form Disambiguated ID Type / Status
Subject Telegony E105621 entity
Predicate continuesStoryOf P28389 FINISHED
Object Odysseus after his return to Ithaca 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: Odysseus after his return to Ithaca | Statement: [Telegony, continuesStoryOf, Odysseus after his return to Ithaca]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: continuesStoryOf
Context triple: [Telegony, continuesStoryOf, Odysseus after his return to Ithaca]
  • A. continuedBy
    Indicates that one entity carries on, extends, or resumes the activity, process, or sequence initiated by another entity.
  • B. storyBy
    Indicates that one entity is the creator or author of the story associated with another entity.
  • C. followsStoryOf chosen
    Indicates that one narrative, account, or storyline continues from, is based on, or is derived from the events or structure of another.
  • D. storyElement
    Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ec16a0819089836e4388b555f6 completed March 20, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69bd6225c9488190afee5bb3619d0365 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:20 p.m.