Triple

T14203774
Position Surface form Disambiguated ID Type / Status
Subject Henrike E352030 entity
Predicate hasDiminutivePotential P456 FINISHED
Object Rika
Rika is a feminine given name, often used as a short or diminutive form of longer names such as Henrike, Frederika, or Erika.
E1085520 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: Rika | Statement: [Henrike, hasDiminutivePotential, Rika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rika
Context triple: [Henrike, hasDiminutivePotential, Rika]
  • A. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • B. Keiko
    Keiko was a famous captive orca best known for starring in the film "Free Willy" and later becoming the focus of a high-profile rehabilitation and release effort.
  • C. Risa
    Risa is a character in August Wilson's play "Two Trains Running," known as a young, resilient waitress whose personal struggles and aspirations reflect the broader social and emotional tensions of the story.
  • D. Tokai Rika
    Tokai Rika is a Japanese automotive parts manufacturer best known for producing switches, security systems, and other electronic components for major carmakers.
  • E. Nomura Rika
    Nomura Rika is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nomura.
  • 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: Rika
Triple: [Henrike, hasDiminutivePotential, Rika]
Generated description
Rika is a feminine given name, often used as a short or diminutive form of longer names such as Henrike, Frederika, or Erika.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rika
Target entity description: Rika is a feminine given name, often used as a short or diminutive form of longer names such as Henrike, Frederika, or Erika.
  • A. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • B. Keiko
    Keiko was a famous captive orca best known for starring in the film "Free Willy" and later becoming the focus of a high-profile rehabilitation and release effort.
  • C. Risa
    Risa is a character in August Wilson's play "Two Trains Running," known as a young, resilient waitress whose personal struggles and aspirations reflect the broader social and emotional tensions of the story.
  • D. Tokai Rika
    Tokai Rika is a Japanese automotive parts manufacturer best known for producing switches, security systems, and other electronic components for major carmakers.
  • E. Nomura Rika
    Nomura Rika is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nomura.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f6d4d481909128084e82e6a58a completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1951421c81908959634e66857b61 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ba3ab388190989f7ce32b7eb936 completed May 7, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69fd1dc50944819082834db63e6da093 completed May 7, 2026, 11:18 p.m.
Created at: April 10, 2026, 1:05 a.m.