Triple

T6675004
Position Surface form Disambiguated ID Type / Status
Subject Johntá Austin E151828 entity
Predicate givenName P17 FINISHED
Object Johntá
Johntá is an American singer-songwriter and record producer best known for penning hit R&B and pop songs for major artists.
 E612305 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: Johntá | Statement: [Johntá Austin, givenName, Johntá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johntá
Context triple: [Johntá Austin, givenName, Johntá]
  • A. Jonty
    Jonty is a diminutive or nickname commonly used for the given name Jonathan.
  • B. Jono
    Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
  • C. Tall John
    Tall John is the English meaning of the Swedish name "Långe Jan," commonly associated with a famous tall lighthouse on the island of Öland in Sweden.
  • D. Joss
    Joss is a surname most notably associated with the fictional philosopher and religious scholar Palmer Joss from Carl Sagan’s novel and the film adaptation "Contact."
  • E. John-John
    John-John is the childhood nickname of John F. Kennedy Jr., the son of U.S. President John F. Kennedy and First Lady Jacqueline Kennedy Onassis.
  • 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: Johntá
Triple: [Johntá Austin, givenName, Johntá]
Generated description
Johntá is an American singer-songwriter and record producer best known for penning hit R&B and pop songs for major artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johntá
Target entity description: Johntá is an American singer-songwriter and record producer best known for penning hit R&B and pop songs for major artists.
  • A. Jonty
    Jonty is a diminutive or nickname commonly used for the given name Jonathan.
  • B. Jono
    Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
  • C. Tall John
    Tall John is the English meaning of the Swedish name "Långe Jan," commonly associated with a famous tall lighthouse on the island of Öland in Sweden.
  • D. Joss
    Joss is a surname most notably associated with the fictional philosopher and religious scholar Palmer Joss from Carl Sagan’s novel and the film adaptation "Contact."
  • E. John-John
    John-John is the childhood nickname of John F. Kennedy Jr., the son of U.S. President John F. Kennedy and First Lady Jacqueline Kennedy Onassis.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f3021481908c2599349eb6ea07 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a30b7481908c36ff9035f62731 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6faa22e748190ab7a06ef84d695f6 completed March 27, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69c6fb85632081908bbb66ea35ce97c8 completed March 27, 2026, 9:49 p.m.
Created at: March 27, 2026, 2:03 p.m.