Triple
T16655074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akira Ifukube |
E404706
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ifukube
Ifukube is a Japanese surname most notably associated with composer Akira Ifukube, famed for his music for the Godzilla film series.
|
E1249006
|
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: Ifukube | Statement: [Akira Ifukube, familyName, Ifukube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ifukube Context triple: [Akira Ifukube, familyName, Ifukube]
-
A.
Iwatsuki
Iwatsuki is a former city in Saitama Prefecture, Japan, now a ward of Saitama City known historically for its traditional doll-making industry.
-
B.
Munakata
Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
-
C.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
-
D.
Wakamatsu
Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
-
E.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
- 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: Ifukube Triple: [Akira Ifukube, familyName, Ifukube]
Generated description
Ifukube is a Japanese surname most notably associated with composer Akira Ifukube, famed for his music for the Godzilla film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ifukube Target entity description: Ifukube is a Japanese surname most notably associated with composer Akira Ifukube, famed for his music for the Godzilla film series.
-
A.
Iwatsuki
Iwatsuki is a former city in Saitama Prefecture, Japan, now a ward of Saitama City known historically for its traditional doll-making industry.
-
B.
Munakata
Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
-
C.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
-
D.
Wakamatsu
Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
-
E.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfa45d8819081bf8579a7160389 |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ec7a4a48190802061e5cd634ea3 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a0130716ad08190a05ac03f60076b11 |
completed | May 11, 2026, 1:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130dbe1f8819095b2d36882bf3287 |
completed | May 11, 2026, 1:29 a.m. |
Created at: April 10, 2026, 5:18 a.m.