Triple

T1336076
Position Surface form Disambiguated ID Type / Status
Subject Akinobu Okada E28751 entity
Predicate familyName P18 FINISHED
Object Okada
Okada is a common Japanese surname borne by numerous notable figures in fields such as sports, politics, and entertainment.
 E154785 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: Okada | Statement: [Akinobu Okada, familyName, Okada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Okada
Context triple: [Akinobu Okada, familyName, Okada]
  • A. Owada
    Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
  • B. Okada Keisuke
    Okada Keisuke was a Japanese admiral and politician who served as Prime Minister of Japan in the mid-1930s and survived the attempted coup d'état known as the February 26 Incident.
  • C. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • D. Baki
    Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
  • 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: Okada
Triple: [Akinobu Okada, familyName, Okada]
Generated description
Okada is a common Japanese surname borne by numerous notable figures in fields such as sports, politics, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Okada
Target entity description: Okada is a common Japanese surname borne by numerous notable figures in fields such as sports, politics, and entertainment.
  • A. Owada
    Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
  • B. Okada Keisuke
    Okada Keisuke was a Japanese admiral and politician who served as Prime Minister of Japan in the mid-1930s and survived the attempted coup d'état known as the February 26 Incident.
  • C. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • D. Baki
    Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1ecb5208190a9eadda113c91e66 completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62b9bd081909dbe22cbea03f21f completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6c204a88190a3171898e6e1bb91 completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc7d8df108190bf92ca5e33987d04 completed March 8, 2026, 12:50 a.m.
Created at: March 1, 2026, 7:55 p.m.