Triple
T13920876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujiwara no Tadamichi |
E334737
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tadamichi
Tadamichi is a Japanese given name historically borne by notable figures such as the Heian-period court noble Fujiwara no Tadamichi.
|
E1125404
|
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: Tadamichi | Statement: [Fujiwara no Tadamichi, givenName, Tadamichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadamichi Context triple: [Fujiwara no Tadamichi, givenName, Tadamichi]
-
A.
Noboru
Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
-
B.
Yamashita
Yamashita is a Japanese surname most famously associated with General Tomoyuki Yamashita, a prominent Imperial Japanese Army commander during World War II.
-
C.
Hiroo
Hiroo is an upscale residential and shopping district in central Tokyo known for its international community, embassies, cafes, and boutiques.
-
D.
Kuribayashi Taro
Kuribayashi Taro is the son of Japanese General Tadamichi Kuribayashi, the famed commander of Japanese forces during the World War II Battle of Iwo Jima.
-
E.
Tōsei
Tōsei was an early literary pseudonym used by the renowned Japanese haiku poet Matsuo Bashō before he adopted the name by which he is best known.
- 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: Tadamichi Triple: [Fujiwara no Tadamichi, givenName, Tadamichi]
Generated description
Tadamichi is a Japanese given name historically borne by notable figures such as the Heian-period court noble Fujiwara no Tadamichi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tadamichi Target entity description: Tadamichi is a Japanese given name historically borne by notable figures such as the Heian-period court noble Fujiwara no Tadamichi.
-
A.
Noboru
Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
-
B.
Yamashita
Yamashita is a Japanese surname most famously associated with General Tomoyuki Yamashita, a prominent Imperial Japanese Army commander during World War II.
-
C.
Hiroo
Hiroo is an upscale residential and shopping district in central Tokyo known for its international community, embassies, cafes, and boutiques.
-
D.
Kuribayashi Taro
Kuribayashi Taro is the son of Japanese General Tadamichi Kuribayashi, the famed commander of Japanese forces during the World War II Battle of Iwo Jima.
-
E.
Tōsei
Tōsei was an early literary pseudonym used by the renowned Japanese haiku poet Matsuo Bashō before he adopted the name by which he is best known.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa428ac819084e7c4b244d15f20 |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b38823881909c9df93371782b47 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6d2b3d688190b8c004fae1127d59 |
completed | May 8, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6e0950e481909c63e47bc98267bf |
completed | May 8, 2026, 11:13 p.m. |
Created at: April 9, 2026, 10:16 p.m.