Triple

T11618339
Position Surface form Disambiguated ID Type / Status
Subject Ghostwire: Tokyo E275565 entity
Predicate notableCharacter P1481 FINISHED
Object Hannya
Hannya is the enigmatic, mask-wearing antagonist in Ghostwire: Tokyo, leading a mysterious cult and orchestrating the mass disappearance of the city's population.
 E937143 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: Hannya | Statement: [Ghostwire: Tokyo, notableCharacter, Hannya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hannya
Context triple: [Ghostwire: Tokyo, notableCharacter, Hannya]
  • A. Tanakia
    Tanakia is a genus of small freshwater bitterling fishes native to East Asia, known for their unique reproductive behavior involving the use of bivalve mollusks as hosts for their eggs.
  • B. Hannō
    Hannō is a suburban city in Saitama Prefecture, Japan, known as a residential and commuter town within the Greater Tokyo area.
  • C. Hoanya
    Hoanya is the self-designated name of an indigenous Taiwanese group historically associated with the now-extinct Hoanya language.
  • D. Hekari
    Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
  • E. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • 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: Hannya
Triple: [Ghostwire: Tokyo, notableCharacter, Hannya]
Generated description
Hannya is the enigmatic, mask-wearing antagonist in Ghostwire: Tokyo, leading a mysterious cult and orchestrating the mass disappearance of the city's population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hannya
Target entity description: Hannya is the enigmatic, mask-wearing antagonist in Ghostwire: Tokyo, leading a mysterious cult and orchestrating the mass disappearance of the city's population.
  • A. Tanakia
    Tanakia is a genus of small freshwater bitterling fishes native to East Asia, known for their unique reproductive behavior involving the use of bivalve mollusks as hosts for their eggs.
  • B. Hannō
    Hannō is a suburban city in Saitama Prefecture, Japan, known as a residential and commuter town within the Greater Tokyo area.
  • C. Hoanya
    Hoanya is the self-designated name of an indigenous Taiwanese group historically associated with the now-extinct Hoanya language.
  • D. Hekari
    Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
  • E. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee873ee6888190ab6e87ed0f4ae731 completed April 26, 2026, 9:44 p.m.
NEDg Description generation batch_69ee9cf692e08190b135de0bd7f96274 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd715b448190b738479b7c1379a2 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:38 p.m.