Triple

T11760075
Position Surface form Disambiguated ID Type / Status
Subject Sullivan & Son E279631 entity
Predicate creator P184 FINISHED
Object Rob Long
Rob Long is an American television writer and producer best known for his work on the sitcom "Cheers" and other comedy series.
 E943749 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: Rob Long | Statement: [Sullivan & Son, creator, Rob Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rob Long
Context triple: [Sullivan & Son, creator, Rob Long]
  • A. Paul Darrow
    Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
  • B. Jeff Cronenweth
    Jeff Cronenweth is an American cinematographer known for his stylish, atmospheric work on films such as "The Social Network" and collaborations with director David Fincher.
  • C. Kevin Reynolds
    Kevin Reynolds is an American film director best known for helming movies such as "Robin Hood: Prince of Thieves" and "Waterworld."
  • D. Geoffrey Fletcher
    Geoffrey Fletcher is an American screenwriter and filmmaker best known for his Academy Award–winning adapted screenplay for the film "Precious."
  • E. David Tyler
    David Tyler is a British comedy producer and director known for his extensive work on radio and television shows, particularly for the BBC.
  • 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: Rob Long
Triple: [Sullivan & Son, creator, Rob Long]
Generated description
Rob Long is an American television writer and producer best known for his work on the sitcom "Cheers" and other comedy series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rob Long
Target entity description: Rob Long is an American television writer and producer best known for his work on the sitcom "Cheers" and other comedy series.
  • A. Paul Darrow
    Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
  • B. Jeff Cronenweth
    Jeff Cronenweth is an American cinematographer known for his stylish, atmospheric work on films such as "The Social Network" and collaborations with director David Fincher.
  • C. Kevin Reynolds
    Kevin Reynolds is an American film director best known for helming movies such as "Robin Hood: Prince of Thieves" and "Waterworld."
  • D. Geoffrey Fletcher
    Geoffrey Fletcher is an American screenwriter and filmmaker best known for his Academy Award–winning adapted screenplay for the film "Precious."
  • E. David Tyler
    David Tyler is a British comedy producer and director known for his extensive work on radio and television shows, particularly for the BBC.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a3dfd1081908221c8061931282b completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f03196d1608190999c505e96ce6be7 completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05af9ce808190bc6c1ec2cb9903f9 completed April 28, 2026, 7 a.m.
Created at: April 8, 2026, 9:41 p.m.