Triple
T27004611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 金光教 |
E680207
|
entity |
| Predicate | 創始者俗名 |
P161764
|
FINISHED |
| Object | 中山みきではなく中山みきと同時代の人物とされるが別人 |
—
|
LITERAL FINISHED |
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: 中山みきではなく中山みきと同時代の人物とされるが別人 | Statement: [金光教, 創始者俗名, 中山みきではなく中山みきと同時代の人物とされるが別人]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 創始者俗名 Context triple: [金光教, 創始者俗名, 中山みきではなく中山みきと同時代の人物とされるが別人]
-
A.
founderAlsoKnownAs
Indicates that an individual who is a founder of something is also known by an alternative name or alias.
-
B.
founderNameVariant
Indicates that the object is an alternative or variant form of the name of the entity’s founder.
-
C.
founderBirthName
Indicates the original personal name given at birth to the individual who founded an organization or entity.
-
D.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
E.
founderTitle
Indicates the formal role or title held by a person in their capacity as a founder of an organization or entity.
- 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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621d139f081909f9ca04e04095dba |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 7 a.m.