Triple

T31256764
Position Surface form Disambiguated ID Type / Status
Subject Sayaka Miki E796994 entity
Predicate witchFormName P18099 FINISHED
Object Oktavia von Seckendorff NE NERFINISHED

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: Oktavia von Seckendorff | Statement: [Sayaka Miki, witchFormName, Oktavia von Seckendorff]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: witchFormName
Context triple: [Sayaka Miki, witchFormName, Oktavia von Seckendorff]
  • A. switchType
    Indicates that one entity functions as a specific type or category of switch in relation to another entity.
  • B. alternativeForm chosen
    Indicates that one entity is an alternative version, variant, or representation of another entity.
  • C. formsInterchangeBetween
    Indicates that one entity creates or establishes an interchange (e.g., a junction, connection, or transfer point) between two or more other entities.
  • D. switchMethod
    Indicates that an entity changes from one method, mode, or procedure to another.
  • E. crossForm
    Indicates that one entity moves from one side of a boundary or area to the opposite side, thereby traversing or passing through a form or region.
  • 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_69f224dd5fdc81908a4cd24917b67668 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d1bf8cc8190a78dfa5ab00daf3a completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:12 p.m.