Triple

T5142012
Position Surface form Disambiguated ID Type / Status
Subject John Cho E115973 entity
Predicate familyName P18 FINISHED
Object Cho
Cho is a common Korean surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
 E497986 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: Cho | Statement: [John Cho, familyName, Cho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cho
Context triple: [John Cho, familyName, Cho]
  • A. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • B. Cho Chang
    Cho Chang is a Ravenclaw student at Hogwarts and Harry Potter’s early love interest, known for her role on the Ravenclaw Quidditch team and her involvement in the events surrounding Cedric Diggory.
  • C. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • D. Chaek
    Chaek is a Korean given name most notably borne by Kim Chaek, a prominent North Korean military and political figure.
  • E. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • 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: Cho
Triple: [John Cho, familyName, Cho]
Generated description
Cho is a common Korean surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cho
Target entity description: Cho is a common Korean surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
  • A. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • B. Cho Chang
    Cho Chang is a Ravenclaw student at Hogwarts and Harry Potter’s early love interest, known for her role on the Ravenclaw Quidditch team and her involvement in the events surrounding Cedric Diggory.
  • C. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • D. Chaek
    Chaek is a Korean given name most notably borne by Kim Chaek, a prominent North Korean military and political figure.
  • E. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ff1c081909a6954aa76e12cbf completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfe7370c8190a47070487b461114 completed March 21, 2026, 5:05 p.m.
NEDg Description generation batch_69bed07c9cd081908f8246e24b2f6458 completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed1013fe88190b76855a042226359 completed March 21, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:43 p.m.