Triple
T11749737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeami Motokiyo |
E279373
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Takasago |
E1188780
|
NE 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: Takasago | Statement: [Zeami Motokiyo, wrote, Takasago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takasago Context triple: [Zeami Motokiyo, wrote, Takasago]
-
A.
Takasago
chosen
Takasago is a classic Noh play, traditionally attributed to Zeami Motokiyo, that centers on an elderly couple symbolizing marital harmony and the unity of past and present.
-
B.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
-
C.
Izushi
Izushi is a historic castle town in Hyōgo Prefecture, Japan, known for its preserved Edo-period streetscape and specialty buckwheat noodles called Izushi soba.
-
D.
Saijo
Saijo is a city in Ehime Prefecture on Japan’s Shikoku island, known for its industrial facilities and maritime-related industries.
-
E.
Ikawai
Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a508b0c4819082fbcc27d559ea2f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbb445a48190ba3dafb1f076ac83 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 8, 2026, 9:41 p.m.