Triple

T1056193
Position Surface form Disambiguated ID Type / Status
Subject David Karp E22800 entity
Predicate familyName P18 FINISHED
Object Karp
Karp is a surname most notably associated with David Karp, the founder of the microblogging platform Tumblr.
 E121307 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: Karp | Statement: [David Karp, familyName, Karp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karp
Context triple: [David Karp, familyName, Karp]
  • A. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • B. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • 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. Kapor
    Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
  • E. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • 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: Karp
Triple: [David Karp, familyName, Karp]
Generated description
Karp is a surname most notably associated with David Karp, the founder of the microblogging platform Tumblr.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karp
Target entity description: Karp is a surname most notably associated with David Karp, the founder of the microblogging platform Tumblr.
  • A. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • B. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • 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. Kapor
    Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
  • E. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d9102c819090af78cae50f0ff2 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd110ac8190b66163de42bd3034 completed March 7, 2026, 2:53 p.m.
NEDg Description generation batch_69ac3d4b32348190883244f2b8af32a0 completed March 7, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac3dbf5c70819084a942fc97a9b50f completed March 7, 2026, 3:01 p.m.
Created at: March 1, 2026, 7:42 p.m.