Triple

T1816977
Position Surface form Disambiguated ID Type / Status
Subject Michael Kors E40456 entity
Predicate familyName P18 FINISHED
Object Kors
Kors is the surname of American fashion designer Michael Kors, known for his eponymous luxury brand.
 E204839 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: Kors | Statement: [Michael Kors, familyName, Kors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kors
Context triple: [Michael Kors, familyName, Kors]
  • A. Kols
    Kols are an indigenous tribal community of central India, primarily residing in the state of Madhya Pradesh and known for their distinct cultural traditions and close association with forest and agrarian livelihoods.
  • B. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • C. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • D. Kists
    Kists are a small Nakh-speaking ethnic group living primarily in Georgia’s Pankisi Gorge, culturally and linguistically related to the Chechens of the North Caucasus.
  • E. Kenscoff
    Kenscoff is a mountainous town in Haiti known for its cool climate, agriculture, and proximity to the capital, Port-au-Prince.
  • 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: Kors
Triple: [Michael Kors, familyName, Kors]
Generated description
Kors is the surname of American fashion designer Michael Kors, known for his eponymous luxury brand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kors
Target entity description: Kors is the surname of American fashion designer Michael Kors, known for his eponymous luxury brand.
  • A. Kols
    Kols are an indigenous tribal community of central India, primarily residing in the state of Madhya Pradesh and known for their distinct cultural traditions and close association with forest and agrarian livelihoods.
  • B. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • C. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • D. Kists
    Kists are a small Nakh-speaking ethnic group living primarily in Georgia’s Pankisi Gorge, culturally and linguistically related to the Chechens of the North Caucasus.
  • E. Kenscoff
    Kenscoff is a mountainous town in Haiti known for its cool climate, agriculture, and proximity to the capital, Port-au-Prince.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f7b84081909005ce36ef1199db completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6019bc81909266b7f03b282f34 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc3557d988190ae04df41e81bc842 completed March 8, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69adc3fadd08819090f9eedb4688cd4a completed March 8, 2026, 6:46 p.m.
Created at: March 4, 2026, 7:32 p.m.