Triple

T14614733
Position Surface form Disambiguated ID Type / Status
Subject Ohno E343054 entity
Predicate hasNotableBearer P458 FINISHED
Object Masahiro Ohno
Masahiro Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno.
 E1111320 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: Masahiro Ohno | Statement: [Ohno, hasNotableBearer, Masahiro Ohno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Masahiro Ohno
Context triple: [Ohno, hasNotableBearer, Masahiro Ohno]
  • A. Satoshi Ohno
    Satoshi Ohno is a Japanese singer, actor, and leader of the popular boy band Arashi.
  • B. Koji Ohno
    Koji Ohno is a Japanese individual notable enough to be recognized as a distinct namesake of the surname Ohno.
  • C. Ken Nakajima
    Ken Nakajima was a renowned Japanese landscape architect celebrated for designing traditional-style Japanese gardens around the world.
  • D. Kazuyoshi Funaki
    Kazuyoshi Funaki is a Japanese ski jumper best known for winning multiple gold medals and becoming a national hero at the 1998 Nagano Winter Olympics.
  • E. Kosuke Imai
    Kosuke Imai is a political scientist and statistician known for his contributions to causal inference, experimental design, and statistical methods in the social sciences.
  • 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: Masahiro Ohno
Triple: [Ohno, hasNotableBearer, Masahiro Ohno]
Generated description
Masahiro Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Masahiro Ohno
Target entity description: Masahiro Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno.
  • A. Satoshi Ohno
    Satoshi Ohno is a Japanese singer, actor, and leader of the popular boy band Arashi.
  • B. Koji Ohno chosen
    Koji Ohno is a Japanese individual notable enough to be recognized as a distinct namesake of the surname Ohno.
  • C. Ken Nakajima
    Ken Nakajima was a renowned Japanese landscape architect celebrated for designing traditional-style Japanese gardens around the world.
  • D. Kazuyoshi Funaki
    Kazuyoshi Funaki is a Japanese ski jumper best known for winning multiple gold medals and becoming a national hero at the 1998 Nagano Winter Olympics.
  • E. Kosuke Imai
    Kosuke Imai is a political scientist and statistician known for his contributions to causal inference, experimental design, and statistical methods in the social sciences.
  • F. None of above.

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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5cbcf08819084313bf28f0bb3e1 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd6885a0c8190957e7b056c70c8f4 completed May 8, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdd722462881909eb0d6fea3bb1cf1 completed May 8, 2026, 12:29 p.m.
Created at: April 10, 2026, 1:25 a.m.