Triple

T2619936
Position Surface form Disambiguated ID Type / Status
Subject Mao Zemin E58981 entity
Predicate givenName P17 FINISHED
Object Zemin
Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
E284015 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: Zemin | Statement: [Mao Zemin, givenName, Zemin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zemin
Context triple: [Mao Zemin, givenName, Zemin]
  • A. Boden
    Boden is a northern Swedish town known for its strategic military significance and large army garrison.
  • B. Yermo
    Yermo is a small unincorporated desert community in San Bernardino County, California, located along Interstate 15 near Barstow.
  • C. Maa
    Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • D. Jordbro
    Jordbro is a suburban district in the southern Stockholm region of Sweden, known for its residential areas, industrial zone, and commuter rail connections within Haninge Municipality.
  • E. Batu
    Batu is a highland city in East Java, Indonesia, known for its cool climate, mountain scenery, and popular tourist attractions such as theme parks and apple orchards.
  • 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: Zemin
Triple: [Mao Zemin, givenName, Zemin]
Generated description
Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zemin
Target entity description: Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
  • A. Boden
    Boden is a northern Swedish town known for its strategic military significance and large army garrison.
  • B. Yermo
    Yermo is a small unincorporated desert community in San Bernardino County, California, located along Interstate 15 near Barstow.
  • C. Maa
    Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • D. Jordbro
    Jordbro is a suburban district in the southern Stockholm region of Sweden, known for its residential areas, industrial zone, and commuter rail connections within Haninge Municipality.
  • E. Batu
    Batu is a highland city in East Java, Indonesia, known for its cool climate, mountain scenery, and popular tourist attractions such as theme parks and apple orchards.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd897acb481909a976b70304cc30e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af908ec0cc8190ab8feb8f237eac4b completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af91a3b4588190acfb360dac6e5ce0 completed March 10, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69af920b7fcc8190b5a34c7c626a1c5d completed March 10, 2026, 3:37 a.m.
Created at: March 6, 2026, 9:50 p.m.