Triple

T15408616
Position Surface form Disambiguated ID Type / Status
Subject Teflon Don E368526 entity
Predicate producer P490 FINISHED
Object DJ Clark Kent E451620 NE FINISHED

How this triple was built (2 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: DJ Clark Kent | Statement: [Teflon Don, producer, DJ Clark Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DJ Clark Kent
Context triple: [Teflon Don, producer, DJ Clark Kent]
  • A. DJ Clark Kent chosen
    DJ Clark Kent is an influential American DJ and hip-hop producer best known for his work with artists like The Notorious B.I.G. and Jay-Z during the 1990s.
  • B. Lewis Waller
    Lewis Waller was a prominent late 19th- and early 20th-century English stage actor and theatre manager known for his romantic leading roles and contributions to the London theatre scene.
  • C. Mul of Kent
    Mul of Kent was a 7th-century royal figure associated with the Anglo-Saxon Kingdom of Kent, known primarily from brief and uncertain historical records.
  • D. Joe Shuster
    Joe Shuster was a Canadian-American comic book artist best known as the co-creator of Superman, one of the most iconic superheroes in popular culture.
  • E. Jonathan Kent
    Jonathan Kent is a prominent British theatre and opera director known for his acclaimed work at the Almeida Theatre and major opera houses worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7356548190af5651ab0bc03ab9 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.