Triple

T11244196
Position Surface form Disambiguated ID Type / Status
Subject Nikki King E266157 entity
Predicate usedBy P260 FINISHED
Object Jonathan King
Jonathan King is an English singer, songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
 E53547 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: Jonathan King | Statement: [Nikki King, usedBy, Jonathan King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jonathan King
Context triple: [Nikki King, usedBy, Jonathan King]
  • A. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • B. Jonathan King
    Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
  • C. Mark King
    Mark King is an actor known for appearing in the film "Caveman."
  • D. Mark King
    Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
  • E. Ed King
    Ed King was an American rock guitarist and songwriter best known as a member of Lynyrd Skynyrd, co-writing hits like "Sweet Home Alabama."
  • 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: Jonathan King
Triple: [Nikki King, usedBy, Jonathan King]
Generated description
Jonathan King is an English singer, songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jonathan King
Target entity description: Jonathan King is an English singer, songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • A. Jonathan King chosen
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • B. Jonathan King
    Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
  • C. Mark King
    Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
  • D. Mark King
    Mark King is an actor known for appearing in the film "Caveman."
  • E. Ed King
    Ed King was an American rock guitarist and songwriter best known as a member of Lynyrd Skynyrd, co-writing hits like "Sweet Home Alabama."
  • F. None of above.

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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91b0b808190bc38008bb344d180 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684ba7e0481908235e3e45f8902e6 completed April 20, 2026, 7:55 p.m.
NEDg Description generation batch_69e699599cb88190919e077a757c527c completed April 20, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69e6a9716b908190add15ed69c8b676a completed April 20, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:30 p.m.