Triple

T3269480
Position Surface form Disambiguated ID Type / Status
Subject Hideo Ohno E68607 entity
Predicate familyName P18 FINISHED
Object Ohno
Ohno is a Japanese surname borne by various notable individuals across fields such as sports, science, and entertainment.
 E343054 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: Ohno | Statement: [Hideo Ohno, familyName, Ohno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ohno
Context triple: [Hideo Ohno, familyName, Ohno]
  • A. Shijo Ohashi
    Shijo Ohashi is a major bridge in central Kyoto, Japan, serving as a key crossing and landmark near the bustling Shijo district.
  • B. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • C. Isamu
    Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
  • D. Anami
    Anami is a Japanese surname most notably associated with Korechika Anami, a general in the Imperial Japanese Army during World War II.
  • E. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • 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: Ohno
Triple: [Hideo Ohno, familyName, Ohno]
Generated description
Ohno is a Japanese surname borne by various notable individuals across fields such as sports, science, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ohno
Target entity description: Ohno is a Japanese surname borne by various notable individuals across fields such as sports, science, and entertainment.
  • A. Shijo Ohashi
    Shijo Ohashi is a major bridge in central Kyoto, Japan, serving as a key crossing and landmark near the bustling Shijo district.
  • B. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • C. Isamu
    Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
  • D. Anami
    Anami is a Japanese surname most notably associated with Korechika Anami, a general in the Imperial Japanese Army during World War II.
  • E. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafd0eddc8190834a64f6b8e8e9f9 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28efded588190bd6c361e5298b496 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b28fcef05c8190b9141dcaa3f9145b completed March 12, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c1c65c81909e661c6beaaec9af completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.