Triple

T2854997
Position Surface form Disambiguated ID Type / Status
Subject The Crying of Lot 49 E63178 entity
Predicate mainCharacter P1183 FINISHED
Object Mucho Maas
Mucho Maas is a troubled California disc jockey and the husband of protagonist Oedipa Maas in Thomas Pynchon's novel "The Crying of Lot 49."
E305352 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: Mucho Maas | Statement: [The Crying of Lot 49, mainCharacter, Mucho Maas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mucho Maas
Context triple: [The Crying of Lot 49, mainCharacter, Mucho Maas]
  • A. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • B. Mishanya
    Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
  • C. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • D. Mama Quilla
    Mama Quilla is the Incan moon goddess, revered as a protector of women and marriage and associated with the regulation of time and festivals.
  • E. Manyika
    Manyika is a major dialect of the Shona language spoken primarily in eastern Zimbabwe and adjacent areas of Mozambique.
  • 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: Mucho Maas
Triple: [The Crying of Lot 49, mainCharacter, Mucho Maas]
Generated description
Mucho Maas is a troubled California disc jockey and the husband of protagonist Oedipa Maas in Thomas Pynchon's novel "The Crying of Lot 49."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mucho Maas
Target entity description: Mucho Maas is a troubled California disc jockey and the husband of protagonist Oedipa Maas in Thomas Pynchon's novel "The Crying of Lot 49."
  • A. Maashees
    Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
  • B. Mishanya
    Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
  • C. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • D. Mama Quilla
    Mama Quilla is the Incan moon goddess, revered as a protector of women and marriage and associated with the regulation of time and festivals.
  • E. Manyika
    Manyika is a major dialect of the Shona language spoken primarily in eastern Zimbabwe and adjacent areas of Mozambique.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8774cc8190aa6ed40b26c4a568 completed March 10, 2026, 1:32 p.m.
NEDg Description generation batch_69b01ea4e3a481909241383e2c4093d8 completed March 10, 2026, 1:37 p.m.
NED2 Entity disambiguation (via description) batch_69b01f1a9ac48190b8d2b5247cb2c3d8 completed March 10, 2026, 1:39 p.m.
Created at: March 6, 2026, 10:02 p.m.