Triple
T18289889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirakawa-tennō |
E438082
|
entity |
| Predicate | eraName |
P2938
|
FINISHED |
| Object | Tenji |
—
|
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: Tenji | Statement: [Shirakawa-tennō, eraName, Tenji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenji Context triple: [Shirakawa-tennō, eraName, Tenji]
-
A.
Tenji
chosen
Tenji was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
-
B.
Tenko
Tenko is a British television drama series set in a World War II Japanese internment camp for women, known for its intense character-driven storytelling and ensemble cast.
-
C.
Toshi
Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
-
D.
Tohana
Tohana is a town and municipal council in the Fatehabad district of the Indian state of Haryana, known as an agricultural and trading center in the region.
-
E.
Toyako
Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fd65888190afdbb29dc60066af |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.