Triple

T6627096
Position Surface form Disambiguated ID Type / Status
Subject Moshup E149829 entity
Predicate otherName P39 FINISHED
Object Maushop
Maushop is a giant, culture-hero figure in Wampanoag and other Northeastern Native American traditions, known for shaping the local landscape and teaching important skills to the people.
 E607502 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: Maushop | Statement: [Moshup, otherName, Maushop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maushop
Context triple: [Moshup, otherName, Maushop]
  • A. Magpet
    Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
  • B. Moppet
    Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
  • C. Muste
    Muste is a surname most notably associated with A. J. Muste, a prominent 20th-century American clergyman and pacifist activist.
  • D. Hamochi
    Hamochi was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
  • E. Velveteria
    Velveteria is a quirky Los Angeles museum dedicated to the art and history of black velvet paintings, featuring an eclectic and often humorous collection.
  • 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: Maushop
Triple: [Moshup, otherName, Maushop]
Generated description
Maushop is a giant, culture-hero figure in Wampanoag and other Northeastern Native American traditions, known for shaping the local landscape and teaching important skills to the people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maushop
Target entity description: Maushop is a giant, culture-hero figure in Wampanoag and other Northeastern Native American traditions, known for shaping the local landscape and teaching important skills to the people.
  • A. Magpet
    Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
  • B. Moppet
    Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
  • C. Muste
    Muste is a surname most notably associated with A. J. Muste, a prominent 20th-century American clergyman and pacifist activist.
  • D. Hamochi
    Hamochi was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
  • E. Velveteria
    Velveteria is a quirky Los Angeles museum dedicated to the art and history of black velvet paintings, featuring an eclectic and often humorous collection.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa0feb0819099629c0fba590a05 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44d356c8190ad4f2a617c3de4af completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e5b236888190b108de51c730179a completed March 27, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7ce9aa88190abd000a13c00a070 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:59 p.m.