Triple

T10323395
Position Surface form Disambiguated ID Type / Status
Subject Swimfan E242694 entity
Predicate starring P1507 FINISHED
Object James DeBello
James DeBello is an American actor known for his supporting roles in early-2000s films such as "Swimfan," "Cabin Fever," and "Detroit Rock City."
E863600 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: James DeBello | Statement: [Swimfan, starring, James DeBello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James DeBello
Context triple: [Swimfan, starring, James DeBello]
  • A. Brian DeMarco
    Brian DeMarco is an American experimental physicist known for his work on ultracold atomic gases and quantum many-body physics.
  • B. Chris Dabaldo
    Chris Dabaldo is a musician best known as a guitarist for the American rock band Saliva.
  • C. Jason DeMarco
    Jason DeMarco is an American television producer and programming executive best known for co-creating and shaping Cartoon Network’s Toonami and Adult Swim blocks.
  • D. Matthew Romano
    Matthew Romano is one of the sons of American comedian and actor Ray Romano, known for occasionally appearing with his father in public and media contexts.
  • E. Ken Daurio
    Ken Daurio is an American screenwriter best known for co-writing popular animated films such as Despicable Me, The Lorax, and The Secret Life of Pets.
  • 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: James DeBello
Triple: [Swimfan, starring, James DeBello]
Generated description
James DeBello is an American actor known for his supporting roles in early-2000s films such as "Swimfan," "Cabin Fever," and "Detroit Rock City."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James DeBello
Target entity description: James DeBello is an American actor known for his supporting roles in early-2000s films such as "Swimfan," "Cabin Fever," and "Detroit Rock City."
  • A. Brian DeMarco
    Brian DeMarco is an American experimental physicist known for his work on ultracold atomic gases and quantum many-body physics.
  • B. Chris Dabaldo
    Chris Dabaldo is a musician best known as a guitarist for the American rock band Saliva.
  • C. Jason DeMarco
    Jason DeMarco is an American television producer and programming executive best known for co-creating and shaping Cartoon Network’s Toonami and Adult Swim blocks.
  • D. Matthew Romano
    Matthew Romano is one of the sons of American comedian and actor Ray Romano, known for occasionally appearing with his father in public and media contexts.
  • E. Ken Daurio
    Ken Daurio is an American screenwriter best known for co-writing popular animated films such as Despicable Me, The Lorax, and The Secret Life of Pets.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e4cdf8881908d613a0cb65fa0c2 completed April 10, 2026, 4:36 a.m.
NEDg Description generation batch_69d886c325c4819089dac35eb26e7961 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dbbe97c8190861e08f3ff39f91b completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 11:50 a.m.