Triple

T30347447
Position Surface form Disambiguated ID Type / Status
Subject Nadeko Sengoku E771902 entity
Predicate hasHiddenSide P172647 FINISHED
Object violent tendencies 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: violent tendencies | Statement: [Nadeko Sengoku, hasHiddenSide, violent tendencies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHiddenSide
Context triple: [Nadeko Sengoku, hasHiddenSide, violent tendencies]
  • A. hiddenSide chosen
    Indicates that one side or aspect of an entity is not visible or directly observable from a given viewpoint or context.
  • B. hasASideOf
    Indicates that one entity possesses or includes a particular side or face as part of its structure or boundary.
  • C. hasRecessedSide
    Indicates that one entity possesses a side or surface that is set back, indented, or recessed relative to its surrounding areas.
  • D. hasBside
    Indicates that one item serves as the B-side counterpart or secondary track associated with another primary item, typically in a recording or media release.
  • E. hasHiddenStructure
    Indicates that an entity possesses an internal or underlying structure that is not directly visible or apparent.
  • 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_69f2248b9a208190bc3e6804acd5afd6 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fdb04ed81c8190b8feea90c1c785a6 completed May 8, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69fda9d6c5148190a63205b6d9b0a1b4 completed May 8, 2026, 9:16 a.m.
Created at: April 29, 2026, 7:56 p.m.