Triple

T9316174
Position Surface form Disambiguated ID Type / Status
Subject Hara Takashi E224126 entity
Predicate familyName P18 FINISHED
Object Hara
Hara is a Japanese surname borne by various notable figures in politics, arts, and sports.
 E827772 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: Hara | Statement: [Hara Takashi, familyName, Hara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hara
Context triple: [Hara Takashi, familyName, Hara]
  • A. Haruna
    Haruna was a Japanese Kongō-class fast battleship that served in the Imperial Japanese Navy during both World Wars and saw extensive action in the Pacific Theater.
  • B. Hiranaka
    Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
  • C. Ihara
    Ihara is the Japanese family name of Ihara Saikaku, a prominent 17th-century Edo-period poet and writer known for his realistic portrayals of urban life.
  • D. Hisako
    Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
  • E. Hinohara
    Hinohara is a rural village in western Tokyo, Japan, known for its mountainous terrain, forests, and outdoor recreation areas.
  • 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: Hara
Triple: [Hara Takashi, familyName, Hara]
Generated description
Hara is a Japanese surname borne by various notable figures in politics, arts, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hara
Target entity description: Hara is a Japanese surname borne by various notable figures in politics, arts, and sports.
  • A. Haruna
    Haruna was a Japanese Kongō-class fast battleship that served in the Imperial Japanese Navy during both World Wars and saw extensive action in the Pacific Theater.
  • B. Hiranaka
    Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
  • C. Ihara
    Ihara is the Japanese family name of Ihara Saikaku, a prominent 17th-century Edo-period poet and writer known for his realistic portrayals of urban life.
  • D. Hisako
    Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
  • E. Hinohara
    Hinohara is a rural village in western Tokyo, Japan, known for its mountainous terrain, forests, and outdoor recreation areas.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358846e48190a8aacfab19d88ae7 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaa8135081909225810ee5355bc3 completed April 5, 2026, 4:52 a.m.
NEDg Description generation batch_69d1ec05d39c81909debbe9ae7869379 completed April 5, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d1ecd530e88190a92867a61b291106 completed April 5, 2026, 5:02 a.m.
Created at: March 30, 2026, 7:37 p.m.