Triple
T16516298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tōgō Heihachirō |
E401193
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Heihachirō |
—
|
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: Heihachirō | Statement: [Tōgō Heihachirō, givenName, Heihachirō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heihachirō Context triple: [Tōgō Heihachirō, givenName, Heihachirō]
-
A.
Heihachiro
chosen
Heihachiro is a masculine Japanese given name most famously borne by Admiral Tōgō Heihachirō, a celebrated naval commander of the Imperial Japanese Navy.
-
B.
Yojiro
Yojiro is a Japanese given name commonly used for males.
-
C.
Yonejirō
Yonejirō is the Japanese given name of Yone Noguchi, a notable early 20th-century poet and writer who bridged Japanese and Western literary cultures.
-
D.
Muneyoshi
Muneyoshi is the given name of Yanagi Sōetsu, the influential Japanese philosopher and founder of the mingei (folk craft) movement.
-
E.
Kenkichi
Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7c7e588190acbcc2b807a98909 |
completed | April 18, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.