Triple
T17436495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madadayo |
E424013
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Madadayo |
—
|
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: Madadayo | Statement: [Madadayo, title, Madadayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madadayo Context triple: [Madadayo, title, Madadayo]
-
A.
Madadayo
chosen
Madadayo is a 1993 Japanese drama film directed by Akira Kurosawa that poignantly portrays the later years of a beloved professor and his enduring bond with former students.
-
B.
Kauyumari
Kauyumari is a central deer spirit and cultural hero in Wixárika (Huichol) religion, associated with guidance, creation, and the connection between humans, nature, and the sacred.
-
C.
Hieda no Are
Hieda no Are was a Japanese court reciter traditionally credited with memorizing the oral histories that formed the basis of the early 8th-century chronicle Kojiki.
-
D.
Madadeni
Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the region.
-
E.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490426008190b474ed76aca5d6f3 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.