Triple
T16406230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dōgen |
E398437
|
entity |
| Predicate | roleAtEiheiji |
P120187
|
FINISHED |
| Object | abbot |
—
|
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: abbot | Statement: [Dōgen, roleAtEiheiji, abbot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtEiheiji Context triple: [Dōgen, roleAtEiheiji, abbot]
-
A.
roleInShinKokinWakashu
Indicates the specific role or involvement an entity has in relation to the Shin Kokin Wakashū (e.g., as compiler, editor, or contributor).
-
B.
roleInJapaneseService
chosen
Indicates that an entity holds or held a specific role, position, or function within a Japanese organization, institution, or service.
-
C.
roleInBladeII
Indicates that an entity has a specific role or participation in the movie "Blade II."
-
D.
roleAtSavoIsland
Indicates the specific role, position, or function an entity held in relation to the event or context associated with Savo Island.
-
E.
roleInCobraKai
Indicates that an entity has a specific role or position within the context of Cobra Kai.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d2b4e48190b7153f198639e9cd |
completed | April 18, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.