Triple

T13780099
Position Surface form Disambiguated ID Type / Status
Subject Chelsea Lately E331109 entity
Predicate executiveProducer P7225 FINISHED
Object Tom Brunelle
Tom Brunelle is a television producer best known for his role as an executive producer on the late-night talk show "Chelsea Lately."
E1060869 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: Tom Brunelle | Statement: [Chelsea Lately, executiveProducer, Tom Brunelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Brunelle
Context triple: [Chelsea Lately, executiveProducer, Tom Brunelle]
  • A. Peter Brunelli
    Peter Brunelli is a film composer best known for creating the musical score for the British drama film "Berkeley Square."
  • B. 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.
  • C. Paul Merolla
    Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
  • D. Anthony Marinelli
    Anthony Marinelli is an American composer and musician best known for his film scores and extensive work in Hollywood soundtracks.
  • E. Greg Corrado
    Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
  • 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: Tom Brunelle
Triple: [Chelsea Lately, executiveProducer, Tom Brunelle]
Generated description
Tom Brunelle is a television producer best known for his role as an executive producer on the late-night talk show "Chelsea Lately."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Brunelle
Target entity description: Tom Brunelle is a television producer best known for his role as an executive producer on the late-night talk show "Chelsea Lately."
  • A. Peter Brunelli
    Peter Brunelli is a film composer best known for creating the musical score for the British drama film "Berkeley Square."
  • B. 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.
  • C. Paul Merolla
    Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
  • D. Anthony Marinelli
    Anthony Marinelli is an American composer and musician best known for his film scores and extensive work in Hollywood soundtracks.
  • E. Greg Corrado
    Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07670b08190a205d3c7ccb9dded completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b0f912f081908084042860c922cb completed May 3, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_69f7b16a43188190968d5cdf32e447ec completed May 3, 2026, 8:34 p.m.
Created at: April 9, 2026, 10:11 p.m.