Triple
T16887396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masaoka Shiki |
E421573
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tsunenori
Tsunenori is the birth name of Masaoka Shiki, a pivotal Japanese poet and literary critic who modernized haiku and tanka in the Meiji era.
|
E1290193
|
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: Tsunenori | Statement: [Masaoka Shiki, givenName, Tsunenori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsunenori Context triple: [Masaoka Shiki, givenName, Tsunenori]
-
A.
Kentarō
Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
-
B.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
-
C.
Noriyuki
Noriyuki is the given first name of actor Pat Morita, best known for his role as Mr. Miyagi in "The Karate Kid" film series.
-
D.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
-
E.
Tetsuzō
Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
- 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: Tsunenori Triple: [Masaoka Shiki, givenName, Tsunenori]
Generated description
Tsunenori is the birth name of Masaoka Shiki, a pivotal Japanese poet and literary critic who modernized haiku and tanka in the Meiji era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsunenori Target entity description: Tsunenori is the birth name of Masaoka Shiki, a pivotal Japanese poet and literary critic who modernized haiku and tanka in the Meiji era.
-
A.
Kentarō
Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
-
B.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
-
C.
Noriyuki
Noriyuki is the given first name of actor Pat Morita, best known for his role as Mr. Miyagi in "The Karate Kid" film series.
-
D.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
-
E.
Tetsuzō
Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc1f42481909dcf595358c23497 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff46b4d48190a32fb05260388762 |
completed | May 12, 2026, 10:21 a.m. |
| NEDg | Description generation | batch_6a03003f52bc8190aae2be0a610c6961 |
completed | May 12, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03047a3d7c81908e4184eb88fded81 |
completed | May 12, 2026, 10:44 a.m. |
Created at: April 10, 2026, 5:29 a.m.