Triple
T21886193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Higashikuni |
E540410
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Naruhiko
Naruhiko was a Japanese imperial prince and army general who briefly served as Prime Minister of Japan at the end of World War II.
|
E1558331
|
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: Naruhiko | Statement: [Prince Higashikuni, givenName, Naruhiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naruhiko Context triple: [Prince Higashikuni, givenName, Naruhiko]
-
A.
Kunihiko
Kunihiko is a Japanese masculine given name commonly borne by notable figures in fields such as mathematics, animation, and the arts.
-
B.
Nobuyuki
Nobuyuki is the given name of the Japanese haiku poet better known by his pen name Kobayashi Issa.
-
C.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
-
D.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
E.
Teruhiko
Teruhiko is the given name of Prince Teruhiko Higashikuni, a member of the former Japanese imperial family.
- 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: Naruhiko Triple: [Prince Higashikuni, givenName, Naruhiko]
Generated description
Naruhiko was a Japanese imperial prince and army general who briefly served as Prime Minister of Japan at the end of World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naruhiko Target entity description: Naruhiko was a Japanese imperial prince and army general who briefly served as Prime Minister of Japan at the end of World War II.
-
A.
Kunihiko
Kunihiko is a Japanese masculine given name commonly borne by notable figures in fields such as mathematics, animation, and the arts.
-
B.
Nobuyuki
Nobuyuki is the given name of the Japanese haiku poet better known by his pen name Kobayashi Issa.
-
C.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
-
D.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
E.
Teruhiko
Teruhiko is the given name of Prince Teruhiko Higashikuni, a member of the former Japanese imperial family.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ec147481908903e2f24e049d8f |
completed | April 28, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae70e3288190b569b4221214e6db |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0baf48d4c481909268ad4c6b4ff67a |
completed | May 19, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bafae553c8190a7426ba56b60f147 |
completed | May 19, 2026, 12:32 a.m. |
Created at: April 16, 2026, 7:05 p.m.