Triple
T13499380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sessue Hayakawa |
E320844
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hayakawa
Hayakawa is a Japanese surname borne by numerous notable individuals in fields such as film, politics, and academia.
|
E1291552
|
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: Hayakawa | Statement: [Sessue Hayakawa, familyName, Hayakawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayakawa Context triple: [Sessue Hayakawa, familyName, Hayakawa]
-
A.
Kiyokawa
Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
-
B.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
C.
Tanaka
Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
D.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
-
E.
Takahira
Takahira was the personal name of Emperor Go-Toba, a late 12th- to early 13th-century Japanese emperor known for his political struggles with the shogunate and his patronage of the arts.
- 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: Hayakawa Triple: [Sessue Hayakawa, familyName, Hayakawa]
Generated description
Hayakawa is a Japanese surname borne by numerous notable individuals in fields such as film, politics, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hayakawa Target entity description: Hayakawa is a Japanese surname borne by numerous notable individuals in fields such as film, politics, and academia.
-
A.
Kiyokawa
Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
-
B.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
C.
Tanaka
Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
D.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
-
E.
Takahira
Takahira was the personal name of Emperor Go-Toba, a late 12th- to early 13th-century Japanese emperor known for his political struggles with the shogunate and his patronage of the arts.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c468b508190a1d683ff354c235c |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a030ce6e0248190854acf6ad772cb08 |
completed | May 12, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030d4d117c8190a115b86df7990087 |
completed | May 12, 2026, 11:21 a.m. |
Created at: April 9, 2026, 9:43 p.m.