Triple

T17911056
Position Surface form Disambiguated ID Type / Status
Subject Sailor Moon E447818 entity
Predicate notableCharacter P1481 FINISHED
Object Chibiusa
Chibiusa is a key character in the Sailor Moon series, known as the time-traveling future daughter of Usagi Tsukino and Mamoru Chiba who becomes Sailor Chibi Moon.
 E1295828 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: Chibiusa | Statement: [Sailor Moon, notableCharacter, Chibiusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chibiusa
Context triple: [Sailor Moon, notableCharacter, Chibiusa]
  • A. Suyasha
    Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
  • B. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • C. Tsubasa
    Tsubasa is a Japanese Shinkansen high-speed train service that operates on the Yamagata Shinkansen line.
  • D. Rika
    Rika is a feminine given name, often used as a short or diminutive form of longer names such as Henrike, Frederika, or Erika.
  • E. Shinobu
    Shinobu is a Japanese given name commonly used for both males and females and borne by various notable figures in Japanese culture.
  • 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: Chibiusa
Triple: [Sailor Moon, notableCharacter, Chibiusa]
Generated description
Chibiusa is a key character in the Sailor Moon series, known as the time-traveling future daughter of Usagi Tsukino and Mamoru Chiba who becomes Sailor Chibi Moon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chibiusa
Target entity description: Chibiusa is a key character in the Sailor Moon series, known as the time-traveling future daughter of Usagi Tsukino and Mamoru Chiba who becomes Sailor Chibi Moon.
  • A. Suyasha
    Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
  • B. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • C. Tsubasa
    Tsubasa is a Japanese Shinkansen high-speed train service that operates on the Yamagata Shinkansen line.
  • D. Rika
    Rika is a feminine given name, often used as a short or diminutive form of longer names such as Henrike, Frederika, or Erika.
  • E. Shinobu
    Shinobu is a Japanese given name commonly used for both males and females and borne by various notable figures in Japanese culture.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49ea017d081908be850a39edf601f completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b3037b0819092e1212feb73e29d completed May 12, 2026, 12:21 p.m.
NEDg Description generation batch_6a031d020c288190bd98296c22789a31 completed May 12, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_6a031d99005c8190a5af9906a8e67765 completed May 12, 2026, 12:31 p.m.
Created at: April 10, 2026, 10:19 a.m.