Triple
T12355044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 山下奉文 |
E294589
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | 奉文 |
E294590
|
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: 奉文 | Statement: [山下奉文, givenName, 奉文]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 奉文 Context triple: [山下奉文, givenName, 奉文]
-
A.
奉文
chosen
奉文 is the given name of Tomoyuki Yamashita, a prominent Imperial Japanese Army general during World War II, known as the "Tiger of Malaya."
-
B.
冯
冯 is a common Chinese surname with ancient origins, used by many notable historical and contemporary figures.
-
C.
樊麾
樊麾 is a Chinese-born French professional Go player best known for being the first human defeated by DeepMind’s AlphaGo program.
-
D.
尚書
尚書 is one of the Five Classics of ancient Chinese literature, consisting of a collection of historical documents and speeches attributed to early Chinese rulers and officials.
-
E.
王文華
王文華是一位華人姓名，常見於華語地區的人物與作家、學者等多種身分。
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab4cdec8190849604ef2ec498ba |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.