Triple

T789988
Position Surface form Disambiguated ID Type / Status
Subject Li Min E16890 entity
Predicate givenName P17 FINISHED
Object Min
Min is a common given name of Chinese origin used for both males and females.
 E93996 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: Min | Statement: [Li Min, givenName, Min]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Min
Context triple: [Li Min, givenName, Min]
  • A. Mini
    Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
  • B. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. Minna
    Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
  • E. Mitu
    Mitu is a genus of large, ground-dwelling curassows—game birds native to Neotropical forests in South America.
  • 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: Min
Triple: [Li Min, givenName, Min]
Generated description
Min is a common given name of Chinese origin used for both males and females.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Min
Target entity description: Min is a common given name of Chinese origin used for both males and females.
  • A. Mini
    Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
  • B. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. Minna
    Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
  • E. Mitu
    Mitu is a genus of large, ground-dwelling curassows—game birds native to Neotropical forests in South America.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7841b0c8190859ecd247e32c6ec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67880f9608190b0676eb47ea99ca1 completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678f962c881909884c2af15f41d65 completed March 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69a67953f2bc8190bbbf8d4ae9c2c3bc completed March 3, 2026, 6:01 a.m.
Created at: March 1, 2026, 7:38 p.m.