Triple
T18584488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Robot Wars series |
E454200
|
entity |
| Predicate | hasOriginalCharacter |
P132665
|
FINISHED |
| Object | Kyosuke Nanbu |
—
|
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: Kyosuke Nanbu | Statement: [Super Robot Wars series, hasOriginalCharacter, Kyosuke Nanbu]
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 (4 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. |
| 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.