Triple

T9801397
Position Surface form Disambiguated ID Type / Status
Subject The Big Fat Kill E237844 entity
Predicate mainCharacter P1183 FINISHED
Object Miho
Miho is a deadly, silent assassin and protector of Old Town in Frank Miller's Sin City graphic novel series.
 E822938 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: Miho | Statement: [The Big Fat Kill, mainCharacter, Miho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miho
Context triple: [The Big Fat Kill, mainCharacter, Miho]
  • A. Miya
    Miya is a Japanese honorific suffix historically used in imperial and aristocratic titles, particularly within branches of the Japanese Imperial Family such as the Higashikuni-no-miya.
  • B. Miya
    Miya is a Chadic language spoken in parts of northern Nigeria, known for its complex tonal system and Afroasiatic linguistic roots.
  • C. Miyabi
    Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
  • D. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • E. Miho no Matsubara
    Miho no Matsubara is a scenic coastal pine grove and beach in Shizuoka, Japan, famed for its views of Mount Fuji and its appearance in traditional art and folklore.
  • 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: Miho
Triple: [The Big Fat Kill, mainCharacter, Miho]
Generated description
Miho is a deadly, silent assassin and protector of Old Town in Frank Miller's Sin City graphic novel series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miho
Target entity description: Miho is a deadly, silent assassin and protector of Old Town in Frank Miller's Sin City graphic novel series.
  • A. Miya
    Miya is a Japanese honorific suffix historically used in imperial and aristocratic titles, particularly within branches of the Japanese Imperial Family such as the Higashikuni-no-miya.
  • B. Miya
    Miya is a Chadic language spoken in parts of northern Nigeria, known for its complex tonal system and Afroasiatic linguistic roots.
  • C. Miyabi
    Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
  • D. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • E. Miho no Matsubara
    Miho no Matsubara is a scenic coastal pine grove and beach in Shizuoka, Japan, famed for its views of Mount Fuji and its appearance in traditional art and folklore.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc53c3dc819084a4d8b72164a172 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cdba64d08190bf0b83d419c4461b completed April 5, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_69d1ce526a2c819098b103ad83c19445 completed April 5, 2026, 2:52 a.m.
Created at: March 30, 2026, 8:29 p.m.