Triple
T19682692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hossō school |
E472631
|
entity |
| Predicate | introducedToJapanBy |
P113862
|
FINISHED |
| Object | Roben |
—
|
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: Roben | Statement: [Hossō school, introducedToJapanBy, Roben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roben Context triple: [Hossō school, introducedToJapanBy, Roben]
-
A.
Rōben
chosen
Rōben was an influential 8th-century Japanese Buddhist monk of the Kegon school, known for helping establish major temples such as Tōdai-ji and shaping early Nara Buddhism.
-
B.
Roby
Roby is a suburban village and residential area within the Metropolitan Borough of Knowsley in Merseyside, England.
-
C.
Roden
Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
-
D.
Roden
Roden is a Czech surname most notably borne by actor Karel Roden, known for his work in both Czech and international films.
-
E.
Robbinsen
Robbinsen is a surname variant of Robbins, likely sharing the same English patronymic origins derived from the given name Robin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641c126b88190820281058a1e7793 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.