Triple

T6587532
Position Surface form Disambiguated ID Type / Status
Subject Chiba Lotte Marines E159262 entity
Predicate hasMascot P52 FINISHED
Object Rine-chan
Rine-chan is a female cheerleader-style mascot character for the Japanese professional baseball team Chiba Lotte Marines.
 E603328 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: Rine-chan | Statement: [Chiba Lotte Marines, hasMascot, Rine-chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rine-chan
Context triple: [Chiba Lotte Marines, hasMascot, Rine-chan]
  • A. Rina
    Rina is a feminine given name commonly used as a short or diminutive form of longer names such as Caterina.
  • B. Yukie
    Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
  • C. Suyasha
    Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
  • D. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • E. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • 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: Rine-chan
Triple: [Chiba Lotte Marines, hasMascot, Rine-chan]
Generated description
Rine-chan is a female cheerleader-style mascot character for the Japanese professional baseball team Chiba Lotte Marines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rine-chan
Target entity description: Rine-chan is a female cheerleader-style mascot character for the Japanese professional baseball team Chiba Lotte Marines.
  • A. Rina
    Rina is a feminine given name commonly used as a short or diminutive form of longer names such as Caterina.
  • B. Yukie
    Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
  • C. Suyasha
    Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
  • D. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • E. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeafd2848190bb51e3ea9711c803 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5794f388190a04f4f9c9e628f22 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d677a74881908e174a6f6c7a5497 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8486534819080b75cad9cc32276 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:55 p.m.