Triple

T6587533
Position Surface form Disambiguated ID Type / Status
Subject Chiba Lotte Marines E159262 entity
Predicate hasMascot P52 FINISHED
Object Zu-chan
Zu-chan is a bird-themed mascot character for the Japanese professional baseball team Chiba Lotte Marines.
 E607120 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: Zu-chan | Statement: [Chiba Lotte Marines, hasMascot, Zu-chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zu-chan
Context triple: [Chiba Lotte Marines, hasMascot, Zu-chan]
  • A. Tarō
    Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
  • B. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
  • C. Nezu
    Nezu is a traditional neighborhood in Tokyo known for its historic Nezu Shrine, old-town atmosphere, and preserved shitamachi streets.
  • D. Yuji
    Yuji is a common Japanese masculine given name used by various real and fictional individuals.
  • E. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • 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: Zu-chan
Triple: [Chiba Lotte Marines, hasMascot, Zu-chan]
Generated description
Zu-chan is a bird-themed mascot character for the Japanese professional baseball team Chiba Lotte Marines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zu-chan
Target entity description: Zu-chan is a bird-themed mascot character for the Japanese professional baseball team Chiba Lotte Marines.
  • A. Tarō
    Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
  • B. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
  • C. Nezu
    Nezu is a traditional neighborhood in Tokyo known for its historic Nezu Shrine, old-town atmosphere, and preserved shitamachi streets.
  • D. Yuji
    Yuji is a common Japanese masculine given name used by various real and fictional individuals.
  • E. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • 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_69c6e42b72c481909f582f4f5b07e3d9 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4e9c344819099ad11c21c2e4a6e completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e581a4f88190b1f64033a49d1bae completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:55 p.m.