Triple

T2955094
Position Surface form Disambiguated ID Type / Status
Subject Cooper E79912 entity
Predicate hasVariantForm P457 FINISHED
Object Kuper
Kuper is a variant form of the name Cooper, typically used as a surname or given name.
 E315299 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: Kuper | Statement: [Cooper, hasVariantForm, Kuper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuper
Context triple: [Cooper, hasVariantForm, Kuper]
  • A. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • B. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • C. Kip
    Kip is the given name of Kip Thorne, the Nobel Prize–winning American theoretical physicist known for his work on gravitational physics and astrophysics.
  • D. Kip
    Kip is a young Sikh British-Indian army sapper in Michael Ondaatje’s novel "The English Patient," whose expertise in bomb disposal and complex relationship with the other characters explore themes of war, identity, and colonialism.
  • E. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • 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: Kuper
Triple: [Cooper, hasVariantForm, Kuper]
Generated description
Kuper is a variant form of the name Cooper, typically used as a surname or given name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuper
Target entity description: Kuper is a variant form of the name Cooper, typically used as a surname or given name.
  • A. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • B. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • C. Kip
    Kip is a young Sikh British-Indian army sapper in Michael Ondaatje’s novel "The English Patient," whose expertise in bomb disposal and complex relationship with the other characters explore themes of war, identity, and colonialism.
  • D. Kip
    Kip is the given name of Kip Thorne, the Nobel Prize–winning American theoretical physicist known for his work on gravitational physics and astrophysics.
  • E. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99286ac8819084f02fbb0a1616d3 completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc86af78819089ff24f2621b151f completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b1003ac79c8190b25f12823b6010ed completed March 11, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_69b10421ab508190a741b1973bd05b17 completed March 11, 2026, 5:56 a.m.
Created at: March 8, 2026, 2:57 p.m.