Triple

T11536235
Position Surface form Disambiguated ID Type / Status
Subject The Emissary E273554 entity
Predicate hasCentralCharacter P8706 FINISHED
Object Mumei
Mumei is a central character known for her mysterious, emissary-like role within the narrative of *The Emissary*.
 E931379 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: Mumei | Statement: [The Emissary, hasCentralCharacter, Mumei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mumei
Context triple: [The Emissary, hasCentralCharacter, Mumei]
  • A. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • B. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • C. Mayu
    Mayu is a regional dialect of the Berta language, spoken by Berta communities in parts of northeastern Africa.
  • D. Mehinako
    Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
  • E. Miyabi
    Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
  • 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: Mumei
Triple: [The Emissary, hasCentralCharacter, Mumei]
Generated description
Mumei is a central character known for her mysterious, emissary-like role within the narrative of *The Emissary*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mumei
Target entity description: Mumei is a central character known for her mysterious, emissary-like role within the narrative of *The Emissary*.
  • A. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • B. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • C. Mayu
    Mayu is a regional dialect of the Berta language, spoken by Berta communities in parts of northeastern Africa.
  • D. Mehinako
    Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
  • E. Miyabi
    Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6858af0d081909078d5862ec3d469 completed April 20, 2026, 7:59 p.m.
NEDg Description generation batch_69e68fd8210c8190a7b0bbd8a50ff6b1 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e69f12cfcc8190a06e0922c9faa49e completed April 20, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:37 p.m.