Triple

T10738459
Position Surface form Disambiguated ID Type / Status
Subject Heike E253255 entity
Predicate relatedName P3889 FINISHED
Object Heiko
Heiko is a given name of German origin, commonly used as a masculine first name.
 E883181 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: Heiko | Statement: [Heike, relatedName, Heiko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heiko
Context triple: [Heike, relatedName, Heiko]
  • A. Hayato
    Hayato is a masculine Japanese given name commonly used for boys and borne by various notable figures in politics, sports, and entertainment.
  • B. Armin
    Armin is the given name of Armin Mueller-Stahl, a renowned German actor, painter, and former musician known for his work in both European and Hollywood cinema.
  • C. Shinya
    Shinya is a Japanese given name commonly used for males.
  • D. Takehiro
    Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
  • E. Takeharu
    Takeharu is a Japanese given name commonly used for males.
  • 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: Heiko
Triple: [Heike, relatedName, Heiko]
Generated description
Heiko is a given name of German origin, commonly used as a masculine first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heiko
Target entity description: Heiko is a given name of German origin, commonly used as a masculine first name.
  • A. Hayato
    Hayato is a masculine Japanese given name commonly used for boys and borne by various notable figures in politics, sports, and entertainment.
  • B. Armin
    Armin is the given name of Armin Mueller-Stahl, a renowned German actor, painter, and former musician known for his work in both European and Hollywood cinema.
  • C. Shinya
    Shinya is a Japanese given name commonly used for males.
  • D. Takehiro
    Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
  • E. Takeharu
    Takeharu is a Japanese given name commonly used for males.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22ed6edc8190beb76bd2971c7cec completed April 14, 2026, 11:20 a.m.
NEDg Description generation batch_69de25d25474819081402b75ef7492f6 completed April 14, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69de2808244c8190bdb2d4d49f30e0d7 completed April 14, 2026, 11:42 a.m.
Created at: April 8, 2026, 9:14 p.m.