Triple

T1475720
Position Surface form Disambiguated ID Type / Status
Subject Katsuya Nomura E30835 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Lotte Orions
Lotte Orions was a Japanese professional baseball team in Nippon Professional Baseball, known as a predecessor to the Chiba Lotte Marines.
 E168850 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: Lotte Orions | Statement: [Katsuya Nomura, memberOfSportsTeam, Lotte Orions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lotte Orions
Context triple: [Katsuya Nomura, memberOfSportsTeam, Lotte Orions]
  • A. Virginia Jansen
    Virginia Jansen is known as the spouse of American choral and orchestral conductor Robert Shaw.
  • B. Lila Lee
    Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
  • C. Anne Lie
    Anne Lie is a notable individual who carries the Norwegian surname Lie, recognized among its distinguished bearers.
  • D. Astrid Menks
    Astrid Menks is a Latvian-American philanthropist and former cocktail waitress best known as the longtime partner and later wife of billionaire investor Warren Buffett.
  • E. Mercedes Barcha
    Mercedes Barcha was the longtime wife and muse of Nobel Prize–winning author Gabriel García Márquez, known for her steadfast support throughout his literary career.
  • 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: Lotte Orions
Triple: [Katsuya Nomura, memberOfSportsTeam, Lotte Orions]
Generated description
Lotte Orions was a Japanese professional baseball team in Nippon Professional Baseball, known as a predecessor to the Chiba Lotte Marines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lotte Orions
Target entity description: Lotte Orions was a Japanese professional baseball team in Nippon Professional Baseball, known as a predecessor to the Chiba Lotte Marines.
  • A. Virginia Jansen
    Virginia Jansen is known as the spouse of American choral and orchestral conductor Robert Shaw.
  • B. Lila Lee
    Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
  • C. Anne Lie
    Anne Lie is a notable individual who carries the Norwegian surname Lie, recognized among its distinguished bearers.
  • D. Astrid Menks
    Astrid Menks is a Latvian-American philanthropist and former cocktail waitress best known as the longtime partner and later wife of billionaire investor Warren Buffett.
  • E. Mercedes Barcha
    Mercedes Barcha was the longtime wife and muse of Nobel Prize–winning author Gabriel García Márquez, known for her steadfast support throughout his literary career.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c602387c8190b97a20c8e05e3d16 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15ab9430819094deb90436983036 completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad1618cfa48190b0050e8451e9cd48 completed March 8, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69ad1689940c8190ba611a74955033d2 completed March 8, 2026, 6:26 a.m.
Created at: March 1, 2026, 8:11 p.m.