Triple

T16607582
Position Surface form Disambiguated ID Type / Status
Subject WMMR E403483 entity
Predicate notableDJ P123514 FINISHED
Object John DeBella
John DeBella is a longtime Philadelphia radio personality best known for his influential work in rock radio and morning shows.
E1223831 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: John DeBella | Statement: [WMMR, notableDJ, John DeBella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John DeBella
Context triple: [WMMR, notableDJ, John DeBella]
  • A. William D'Elia
    William D'Elia is an American mobster who became a powerful boss in the Bufalino crime family and a significant figure in organized crime in Pennsylvania.
  • B. Joe DeRita
    Joe DeRita was an American comedian best known for joining the Three Stooges in their later years as the bald, slapstick-heavy character "Curly Joe."
  • C. Paul DeLucia
    Paul DeLucia, better known as Paul Ricca, was a prominent Chicago mob boss and influential leader of the Chicago Outfit during the mid-20th century.
  • D. Anthony DeLuca
    Anthony DeLuca is a character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
  • E. Mel Dinelli
    Mel Dinelli was an American playwright and screenwriter best known for his work in film noir and suspense films during the mid-20th century.
  • 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: John DeBella
Triple: [WMMR, notableDJ, John DeBella]
Generated description
John DeBella is a longtime Philadelphia radio personality best known for his influential work in rock radio and morning shows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John DeBella
Target entity description: John DeBella is a longtime Philadelphia radio personality best known for his influential work in rock radio and morning shows.
  • A. William D'Elia
    William D'Elia is an American mobster who became a powerful boss in the Bufalino crime family and a significant figure in organized crime in Pennsylvania.
  • B. Joe DeRita
    Joe DeRita was an American comedian best known for joining the Three Stooges in their later years as the bald, slapstick-heavy character "Curly Joe."
  • C. Paul DeLucia
    Paul DeLucia, better known as Paul Ricca, was a prominent Chicago mob boss and influential leader of the Chicago Outfit during the mid-20th century.
  • D. Anthony DeLuca
    Anthony DeLuca is a character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
  • E. Mel Dinelli
    Mel Dinelli was an American playwright and screenwriter best known for his work in film noir and suspense films during the mid-20th century.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36093901881909b85af47f75879a9 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007daa9f7c8190a9540d9a7a6ca6fb completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e6507208190b3f32c05a2f647bd completed May 10, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_6a007f2cefa081908734a907da33a72f completed May 10, 2026, 12:50 p.m.
Created at: April 10, 2026, 5:17 a.m.