Triple

T9001547
Position Surface form Disambiguated ID Type / Status
Subject Monogatari Series E215048 entity
Predicate mainCharacter P1183 FINISHED
Object Tsubasa Hanekawa
Tsubasa Hanekawa is a highly intelligent, kind-hearted class representative from the Monogatari Series whose repressed emotions manifest as supernatural aberrations.
 E771903 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: Tsubasa Hanekawa | Statement: [Monogatari Series, mainCharacter, Tsubasa Hanekawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tsubasa Hanekawa
Context triple: [Monogatari Series, mainCharacter, Tsubasa Hanekawa]
  • A. Chiho Aoshima
    Chiho Aoshima is a contemporary Japanese artist known for her digitally rendered, anime-influenced dreamscapes that blend cute and grotesque imagery.
  • B. Kazumi Ōta
    Kazumi Ōta is a Japanese politician who serves as the mayor of Kashiwa in Chiba Prefecture.
  • C. Sojin Kamiyama
    Sojin Kamiyama was a Japanese actor of the silent film era, best known for his prominent roles in early Hollywood productions.
  • D. Yamaboko Junko
    Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
  • E. Yukari Ōe
    Yukari Ōe is the mother of Japanese composer Hikari Ōe and the wife of Nobel Prize–winning author Kenzaburō Ōe.
  • 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: Tsubasa Hanekawa
Triple: [Monogatari Series, mainCharacter, Tsubasa Hanekawa]
Generated description
Tsubasa Hanekawa is a highly intelligent, kind-hearted class representative from the Monogatari Series whose repressed emotions manifest as supernatural aberrations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tsubasa Hanekawa
Target entity description: Tsubasa Hanekawa is a highly intelligent, kind-hearted class representative from the Monogatari Series whose repressed emotions manifest as supernatural aberrations.
  • A. Chiho Aoshima
    Chiho Aoshima is a contemporary Japanese artist known for her digitally rendered, anime-influenced dreamscapes that blend cute and grotesque imagery.
  • B. Kazumi Ōta
    Kazumi Ōta is a Japanese politician who serves as the mayor of Kashiwa in Chiba Prefecture.
  • C. Sojin Kamiyama
    Sojin Kamiyama was a Japanese actor of the silent film era, best known for his prominent roles in early Hollywood productions.
  • D. Yamaboko Junko
    Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
  • E. Yukari Ōe
    Yukari Ōe is the mother of Japanese composer Hikari Ōe and the wife of Nobel Prize–winning author Kenzaburō Ōe.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6956a6e08190bd3853a7c1c130eb completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0ddb1648190a50f8877218d9883 completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd1b4a80c8190be50b67698f56c28 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd2c99f1c8190b82fd98f5d3243d3 completed April 3, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:05 p.m.