Triple

T29300411
Position Surface form Disambiguated ID Type / Status
Subject Nanban E742940 entity
Predicate alternateScriptWriter P53375 FINISHED
Object Madhan Karky 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: Madhan Karky | Statement: [Nanban, alternateScriptWriter, Madhan Karky]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alternateScriptWriter
Context triple: [Nanban, alternateScriptWriter, Madhan Karky]
  • A. scriptWriter chosen
    Indicates that one entity is the person who wrote or authored the script associated with another entity.
  • B. usesScriptFor
    Indicates that one entity employs or relies on a particular script or writing system for its representation, communication, or operation.
  • C. formerScript
    Indicates that an entity previously served as the script or writing system for another entity, but is no longer used in that role.
  • D. scriptEvolution
    Indicates how a script or written system changes, develops, or transforms over time in relation to its earlier or later forms.
  • E. animeScriptwriter
    Indicates that one entity is the scriptwriter responsible for writing or composing the script of an anime associated with the other 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_69f09123ed9881909f351f7541933f5e completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca204148190850a3dc325bc07b7 completed May 3, 2026, 2:02 a.m.
Created at: April 28, 2026, 1:09 p.m.