Triple
T11932346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeda Shingen |
E283944
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Harunobu |
E954736
|
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: Harunobu | Statement: [Takeda Shingen, givenName, Harunobu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harunobu Context triple: [Takeda Shingen, givenName, Harunobu]
-
A.
Tsuguharu
Tsuguharu is the given name of Tsuguharu Foujita, a renowned 20th-century Japanese–French painter associated with the École de Paris.
-
B.
Takeda Harunobu
chosen
Takeda Harunobu, better known as Takeda Shingen, was a powerful Sengoku-period daimyō famed for his military prowess and rivalry with Uesugi Kenshin in 16th-century Japan.
-
C.
Mahomi Kunikata
Mahomi Kunikata is a contemporary Japanese artist known for her psychologically intense, often surreal works that explore themes of trauma, identity, and the subconscious.
-
D.
Kuniyoshi Kuni
Kuniyoshi Kuni was a Japanese prince of the Kuni-no-miya collateral branch of the Imperial Family during the late Meiji and Taishō periods.
-
E.
Toyohara
Toyohara was the former Japanese name for the city now known as Yuzhno-Sakhalinsk on Sakhalin 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90305015c81908edb0d9d3d012b2e |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458a576fc8190b68b27365cd53caf |
completed | May 1, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:45 p.m.