Triple

T34502327
Position Surface form Disambiguated ID Type / Status
Subject abduction of Europa E885789 entity
Predicate hasMotifIndex P182389 FINISHED
Object ATU 400 (The Man on a Quest for the Lost Wife) – related type 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: ATU 400 (The Man on a Quest for the Lost Wife) – related type | Statement: [abduction of Europa, hasMotifIndex, ATU 400 (The Man on a Quest for the Lost Wife) – related type]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMotifIndex
Context triple: [abduction of Europa, hasMotifIndex, ATU 400 (The Man on a Quest for the Lost Wife) – related type]
  • A. hasTypeOfMotif chosen
    Indicates that one entity features or is characterized by a specific kind or category of motif.
  • B. hasMirrorMotif
    Indicates that one entity features a mirror-related motif or pattern in relation to another entity or context.
  • C. numberOfMotifs
    Indicates the count of distinct motifs associated with or contained within a given entity.
  • D. usesMotifsFrom
    Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
  • E. hasClosingMotif
    Indicates that one entity features or is associated with a recurring thematic or structural pattern used at the end or conclusion of another entity.
  • 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_69f349cc0220819081f154c6964f4dc2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fecd0a732c819097bdd3eb69b6158c completed May 9, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69fecc0318d481908b5b20598a76a9fe completed May 9, 2026, 5:54 a.m.
Created at: May 1, 2026, 2:01 a.m.