Triple

T4456620
Position Surface form Disambiguated ID Type / Status
Subject Karns E97741 entity
Predicate namedAfter P63 FINISHED
Object Thomas Karns
Thomas Karns is the individual after whom the entity Karns is named, likely a person of local or historical significance.
E442237 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: Thomas Karns | Statement: [Karns, namedAfter, Thomas Karns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Karns
Context triple: [Karns, namedAfter, Thomas Karns]
  • A. David Rose
    David Rose was a British-born American composer, arranger, and orchestra leader best known for his work in radio, television, and film music.
  • B. Gary Crosby
    Gary Crosby was an American singer and actor, known both for his work in film, television, and music and for being the son of entertainer Bing Crosby.
  • C. Gene Green
    Gene Green is an American Democratic politician who served for many years as a U.S. Representative from the Houston area in Texas.
  • D. Mort Shuman
    Mort Shuman was an American songwriter and pianist best known for co-writing numerous 1960s pop and rock hits, including many for artists like Elvis Presley and The Drifters.
  • E. Fred Rose
    Fred Rose was an influential American songwriter and music publisher, best known as a co-founder of Acuff-Rose Publications and for penning numerous country music standards.
  • 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: Thomas Karns
Triple: [Karns, namedAfter, Thomas Karns]
Generated description
Thomas Karns is the individual after whom the entity Karns is named, likely a person of local or historical significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Karns
Target entity description: Thomas Karns is the individual after whom the entity Karns is named, likely a person of local or historical significance.
  • A. David Rose
    David Rose was a British-born American composer, arranger, and orchestra leader best known for his work in radio, television, and film music.
  • B. Gary Crosby
    Gary Crosby was an American singer and actor, known both for his work in film, television, and music and for being the son of entertainer Bing Crosby.
  • C. Gene Green
    Gene Green is an American Democratic politician who served for many years as a U.S. Representative from the Houston area in Texas.
  • D. Mort Shuman
    Mort Shuman was an American songwriter and pianist best known for co-writing numerous 1960s pop and rock hits, including many for artists like Elvis Presley and The Drifters.
  • E. Fred Rose
    Fred Rose was an influential American songwriter and music publisher, best known as a co-founder of Acuff-Rose Publications and for penning numerous country music standards.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356434e9481908f883c09e0908f6b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6282743e08190a2c84f3b80c6d260 completed March 15, 2026, 3:31 a.m.
NEDg Description generation batch_69b62af29d3c81908cb82d142c2a55a4 completed March 15, 2026, 3:43 a.m.
NED2 Entity disambiguation (via description) batch_69b62ba4d6c88190b4eaacd09a0b2b66 completed March 15, 2026, 3:46 a.m.
Created at: March 12, 2026, 11:33 p.m.