Triple
T15997211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masao Iri |
E388001
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Hiroshi Nagamochi
Hiroshi Nagamochi is a Japanese mathematician and computer scientist known for his contributions to graph theory and combinatorial optimization.
|
E1189322
|
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: Hiroshi Nagamochi | Statement: [Masao Iri, notableStudent, Hiroshi Nagamochi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroshi Nagamochi Context triple: [Masao Iri, notableStudent, Hiroshi Nagamochi]
-
A.
Takao Nishizeki
Takao Nishizeki is a Japanese computer scientist known for his influential work in graph theory and algorithms.
-
B.
Takatoshi Nishiwaki
Takatoshi Nishiwaki is a Japanese politician serving as the governor of Kyoto Prefecture.
-
C.
Tomoyuki Sugano
Tomoyuki Sugano is an elite Japanese professional baseball pitcher, best known as the longtime ace of the Yomiuri Giants and one of Nippon Professional Baseball’s most dominant modern-era starters.
-
D.
Fumihiro Hayashi
Fumihiro Hayashi is an actor known for his role in the acclaimed 2003 film "Lost in Translation."
-
E.
Akinori Otsuka
Akinori Otsuka is a former Japanese professional baseball relief pitcher who starred in Nippon Professional Baseball and later became a successful closer in Major League Baseball.
- 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: Hiroshi Nagamochi Triple: [Masao Iri, notableStudent, Hiroshi Nagamochi]
Generated description
Hiroshi Nagamochi is a Japanese mathematician and computer scientist known for his contributions to graph theory and combinatorial optimization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hiroshi Nagamochi Target entity description: Hiroshi Nagamochi is a Japanese mathematician and computer scientist known for his contributions to graph theory and combinatorial optimization.
-
A.
Takao Nishizeki
Takao Nishizeki is a Japanese computer scientist known for his influential work in graph theory and algorithms.
-
B.
Takatoshi Nishiwaki
Takatoshi Nishiwaki is a Japanese politician serving as the governor of Kyoto Prefecture.
-
C.
Tomoyuki Sugano
Tomoyuki Sugano is an elite Japanese professional baseball pitcher, best known as the longtime ace of the Yomiuri Giants and one of Nippon Professional Baseball’s most dominant modern-era starters.
-
D.
Fumihiro Hayashi
Fumihiro Hayashi is an actor known for his role in the acclaimed 2003 film "Lost in Translation."
-
E.
Akinori Otsuka
Akinori Otsuka is a former Japanese professional baseball relief pitcher who starred in Nippon Professional Baseball and later became a successful closer in Major League Baseball.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157882ef0819081143e530bd6413c |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1edc7c81908fdd0fa00418d7a7 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd0738324819095ede37659a509bc |
completed | May 10, 2026, 12:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0cece7c8190ad2f6dbf04830330 |
completed | May 10, 2026, 12:26 a.m. |
Created at: April 10, 2026, 4:55 a.m.