Triple
T17807966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taira no Tokuko |
E444616
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Taira |
—
|
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: Taira | Statement: [Taira no Tokuko, familyName, Taira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taira Context triple: [Taira no Tokuko, familyName, Taira]
-
A.
Taira
chosen
Taira was a powerful samurai clan that dominated late Heian-period Japanese politics and warfare before its downfall in the Genpei War.
-
B.
Soga
Soga is a Bantu language spoken primarily in eastern Uganda by the Basoga people.
-
C.
Mutsu
Mutsu was a Japanese Nagato-class battleship of the Imperial Japanese Navy that served prominently during the interwar period and World War II before being destroyed by an internal explosion in 1943.
-
D.
Mutsu
Mutsu is a coastal city in northern Japan known for its proximity to the Shimokita Peninsula and natural hot springs.
-
E.
Arinori
Arinori was a given name of Mori Arinori, a prominent Meiji-era Japanese statesman and reformer known for modernizing Japan’s education system.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488779a3081908405eac4930a095f |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.