Triple
T16274207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirō Ishii |
E395082
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Shirō
Shirō is a Japanese given name most infamously associated with Shirō Ishii, the Imperial Japanese Army general who led the biological warfare research unit known as Unit 731 during World War II.
|
E1237497
|
NE FINISHED |
How this triple was built (4 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: Shirō | Statement: [Shirō Ishii, givenName, Shirō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirō Context triple: [Shirō Ishii, givenName, Shirō]
-
A.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
B.
Shinnosuke
Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
-
C.
Mitsuo
Mitsuo is a Japanese masculine given name borne by various notable individuals in fields such as the military, arts, and sports.
-
D.
Shinya
Shinya is a Japanese given name commonly used for males.
-
E.
Sanshirō
Sanshirō is a classic Japanese novel by Natsume Sōseki that follows a naive young man's coming-of-age journey after moving from the countryside to Tokyo in the early 20th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shirō Triple: [Shirō Ishii, givenName, Shirō]
Generated description
Shirō is a Japanese given name most infamously associated with Shirō Ishii, the Imperial Japanese Army general who led the biological warfare research unit known as Unit 731 during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shirō Target entity description: Shirō is a Japanese given name most infamously associated with Shirō Ishii, the Imperial Japanese Army general who led the biological warfare research unit known as Unit 731 during World War II.
-
A.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
B.
Shinnosuke
Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
-
C.
Mitsuo
Mitsuo is a Japanese masculine given name borne by various notable individuals in fields such as the military, arts, and sports.
-
D.
Shinya
Shinya is a Japanese given name commonly used for males.
-
E.
Sanshirō
Sanshirō is a classic Japanese novel by Natsume Sōseki that follows a naive young man's coming-of-age journey after moving from the countryside to Tokyo in the early 20th century.
- F. None of above. chosen
Provenance (5 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460c2d948190813b66e539a64a70 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c28f43988190aa06da8c356b9646 |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c31d79688190b09754074a0dbafb |
completed | May 10, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c38569d081909f20b7cb32ceb714 |
completed | May 10, 2026, 5:42 p.m. |
Created at: April 10, 2026, 5:05 a.m.