Triple
T31271660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 藤田嗣治 |
E797400
|
entity |
| Predicate | 親交のあった画家 |
P171527
|
FINISHED |
| Object | パブロ・ピカソ |
—
|
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: パブロ・ピカソ | Statement: [藤田嗣治, 親交のあった画家, パブロ・ピカソ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 親交のあった画家 Context triple: [藤田嗣治, 親交のあった画家, パブロ・ピカソ]
-
A.
marriedToPainter
Indicates that one entity is married to another entity who is a painter.
-
B.
associatedPainter
Indicates a relationship where a painter is linked or connected to something, such as a work, place, or subject, as the artist associated with it.
-
C.
painter
Indicates that one entity creates paintings of, or is responsible for painting, another entity.
-
D.
associatedWithWorkOfArt
Indicates a relationship in which an entity is connected or related to a specific work of art, such as through creation, contribution, ownership, or contextual association.
-
E.
associatedWithArtForm
Indicates a relationship where an entity is connected or linked to a particular art form, such as by practice, creation, representation, or influence.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:13 p.m.