Triple
T30349107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girls Dead Monster |
E771941
|
entity |
| Predicate | basedOnCharacterDesignBy |
P192849
|
FINISHED |
| Object | Na-Ga |
—
|
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: Na-Ga | Statement: [Girls Dead Monster, basedOnCharacterDesignBy, Na-Ga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnCharacterDesignBy Context triple: [Girls Dead Monster, basedOnCharacterDesignBy, Na-Ga]
-
A.
usesCharacterDesignFrom
chosen
Indicates that one entity employs or incorporates the character design originally created for another entity.
-
B.
basedOnCharacterBy
Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
-
C.
characterBasedOn
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
D.
basedOnCharacterFromWork
Indicates that one entity is derived from, inspired by, or modeled after a character that appears in another creative work.
-
E.
basedOnCharacterOrigin
Indicates that one entity is derived from, inspired by, or determined according to the origin or background of a character.
- 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_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: April 29, 2026, 7:56 p.m.