Triple

T20204348
Position Surface form Disambiguated ID Type / Status
Subject Seiya Suzuki E493309 entity
Predicate givenName P17 FINISHED
Object Seiya
Seiya is a Japanese given name commonly used for males and borne by various notable figures in sports and entertainment.
 E1418258 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: Seiya | Statement: [Seiya Suzuki, givenName, Seiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seiya
Context triple: [Seiya Suzuki, givenName, Seiya]
  • A. Ryusei
    Ryusei was the Imperial Japanese Navy’s Aichi B7A carrier-based torpedo-dive bomber developed during World War II.
  • B. Iori
    The Iori is a river in the South Caucasus that flows through eastern Georgia and parts of Azerbaijan before joining the Kura River.
  • C. Raoh
    Raoh is a premium instant ramen brand produced by Nissin Foods, known for its rich, restaurant-quality broth and high-end noodle texture.
  • D. Asashio
    Asashio was a Japanese destroyer that served in the Imperial Japanese Navy during World War II as the lead ship of her class.
  • E. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • 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: Seiya
Triple: [Seiya Suzuki, givenName, Seiya]
Generated description
Seiya is a Japanese given name commonly used for males and borne by various notable figures in sports and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seiya
Target entity description: Seiya is a Japanese given name commonly used for males and borne by various notable figures in sports and entertainment.
  • A. Ryusei
    Ryusei was the Imperial Japanese Navy’s Aichi B7A carrier-based torpedo-dive bomber developed during World War II.
  • B. Iori
    The Iori is a river in the South Caucasus that flows through eastern Georgia and parts of Azerbaijan before joining the Kura River.
  • C. Raoh
    Raoh is a premium instant ramen brand produced by Nissin Foods, known for its rich, restaurant-quality broth and high-end noodle texture.
  • D. Asashio
    Asashio was a Japanese destroyer that served in the Imperial Japanese Navy during World War II as the lead ship of her class.
  • E. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8f90108190b72e37c0056de0f8 completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843ea96988190a6ef505492dbfe9d completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a08450b54dc8190978326574995952d completed May 16, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0845e241048190ba7fb657d4dca3d7 completed May 16, 2026, 10:24 a.m.
Created at: April 11, 2026, 11:38 p.m.