Triple

T18584488
Position Surface form Disambiguated ID Type / Status
Subject Super Robot Wars series E454200 entity
Predicate hasOriginalCharacter P132665 FINISHED
Object Kyosuke Nanbu
Kyosuke Nanbu is a central original protagonist in the Super Robot Wars franchise, known as a stoic, luck-driven pilot of the Alteisen mecha.
 E2139759 NE FINISHED

How this triple was built (3 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: Kyosuke Nanbu | Statement: [Super Robot Wars series, hasOriginalCharacter, Kyosuke Nanbu]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kyosuke Nanbu
Triple: [Super Robot Wars series, hasOriginalCharacter, Kyosuke Nanbu]
Generated description
Kyosuke Nanbu is a central original protagonist in the Super Robot Wars franchise, known as a stoic, luck-driven pilot of the Alteisen mecha.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasOriginalCharacter
Context triple: [Super Robot Wars series, hasOriginalCharacter, Kyosuke Nanbu]
  • A. hasOriginalNameOf
    Indicates that one entity is the original or earlier name from which another entity’s current or later name is derived.
  • B. hasOriginalVersion
    Indicates that one entity is the original or initial version from which another entity is derived or adapted.
  • C. hasOriginalPart
    Indicates that an entity includes a component or segment that is part of its initial, original composition.
  • D. hasPrimaryCharacter
    Indicates that an entity features another entity as its main or central character.
  • E. originallyHad
    Indicates that an entity previously possessed, contained, or was associated with something before a change, loss, or transformation occurred.
  • F. None of above. chosen

Provenance (7 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543d200dc8190b8797d731f4e4865 completed April 19, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38368e090c81908704ea549b322f2c completed June 21, 2026, 7:07 p.m.
NEDg Description generation batch_6a3837e4a4008190a1a67886dd3dfc53 completed June 21, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_6a383848d8548190b6146c6d159ef00d completed June 21, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69e478c98d4c81909d37a0e72c6e7bd0 completed April 19, 2026, 6:40 a.m.
PDg Predicate description generation batch_69e484121cd48190bf583b4c94636a30 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 11:44 a.m.