Triple

T10303527
Position Surface form Disambiguated ID Type / Status
Subject Polyanka E241691 entity
Predicate architect P184 FINISHED
Object G. Mun
G. Mun is an architect known for designing the Polyanka project.
 E854167 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: G. Mun | Statement: [Polyanka, architect, G. Mun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: G. Mun
Context triple: [Polyanka, architect, G. Mun]
  • A. Gongman
    Gongman is the iconic figure who strikes a large gong in the opening logo sequence of the Rank Organisation’s films.
  • B. J. Mogul
    J. Mogul is a computer scientist and networking researcher known for contributions to Internet protocols and standards, including co-authoring early RFCs.
  • C. Jungmann
    Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
  • D. Mugunghwa-ho
    Mugunghwa-ho is a class of South Korean intercity passenger trains operated by Korail, known for providing affordable, slower-speed service connecting major cities and regional areas.
  • E. Ô Môn
    Ô Môn is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its agricultural activities and growing urban development.
  • 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: G. Mun
Triple: [Polyanka, architect, G. Mun]
Generated description
G. Mun is an architect known for designing the Polyanka project.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: G. Mun
Target entity description: G. Mun is an architect known for designing the Polyanka project.
  • A. Gongman
    Gongman is the iconic figure who strikes a large gong in the opening logo sequence of the Rank Organisation’s films.
  • B. J. Mogul
    J. Mogul is a computer scientist and networking researcher known for contributions to Internet protocols and standards, including co-authoring early RFCs.
  • C. Jungmann
    Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
  • D. Mugunghwa-ho
    Mugunghwa-ho is a class of South Korean intercity passenger trains operated by Korail, known for providing affordable, slower-speed service connecting major cities and regional areas.
  • E. Ô Môn
    Ô Môn is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its agricultural activities and growing urban development.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30846108190875042ab1c0204e0 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d4f6c30819098bcdc77ba1836c3 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d73185266481909e79eddc33469d8d completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73279922c8190b616e1a61df4d227 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:45 a.m.