Triple

T11244205
Position Surface form Disambiguated ID Type / Status
Subject Nikki King E266157 entity
Predicate associatedWithCrimeRecordOfUser P98656 FINISHED
Object Jonathan King E53547 NE FINISHED

How this triple was built (3 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, associatedWithCrimeRecordOfUser, Jonathan King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan King
Context triple: [Nikki King, associatedWithCrimeRecordOfUser, Jonathan King]
  • 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 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithCrimeRecordOfUser
Context triple: [Nikki King, associatedWithCrimeRecordOfUser, Jonathan King]
  • A. criminalRecord
    Indicates that an entity has a documented history of criminal offenses or convictions recorded by an authority.
  • B. criminalStatus
    Indicates the legal condition of an entity with respect to criminal law, such as whether they are accused, convicted, or cleared of a crime.
  • C. hasCrimeElement
    Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
  • D. consideredCriminalBy
    Indicates that one party regards or classifies another party as a criminal according to its own laws, rules, or judgments.
  • E. convictedOf
    Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
  • 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_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_69e712e6288481908071e248a50209e0 completed April 21, 2026, 6:02 a.m.
PD Predicate disambiguation batch_69d7878906f48190b63ddc103a0c8f9b completed April 9, 2026, 11:03 a.m.
PDg Predicate description generation batch_69d796cf74308190a5b29d0dd82954a2 completed April 9, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:30 p.m.