Triple

T26826250
Position Surface form Disambiguated ID Type / Status
Subject Sídhe E675382 entity
Predicate canAbduct P23389 FINISHED
Object children 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: children | Statement: [Sídhe, canAbduct, children]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canAbduct
Context triple: [Sídhe, canAbduct, children]
  • A. usedAbductions
    Indicates that one entity carried out or relied on abductions (kidnappings) as a method or tactic in relation to another entity or context.
  • B. abductedBy
    Indicates that an entity has been forcibly taken or carried away by another entity against their will.
  • C. abductedFrom
    Indicates that an entity was forcibly taken away or kidnapped from a specified location or source.
  • D. abductedThrough
    Indicates that an abduction occurred by means of, or via the use of, a specified method, channel, or intermediary.
  • E. abductionMotif chosen
    Indicates a relationship where an event, narrative, or depiction involves the motif of one entity abducting or forcibly carrying off another.
  • 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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61ad8d3348190a3cb44103dce1995 completed May 2, 2026, 3:40 p.m.
PD Predicate disambiguation batch_69f611ad2eb48190ac1ed0090f13f7a9 completed May 2, 2026, 3:01 p.m.
Created at: April 27, 2026, 4:58 a.m.