Triple

T7072790
Position Surface form Disambiguated ID Type / Status
Subject Archie Bunker's Place E164739 entity
Predicate starring P1507 FINISHED
Object Joe Rosario
Joe Rosario is an actor known for his role in the American sitcom "Archie Bunker's Place."
E664191 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: Joe Rosario | Statement: [Archie Bunker's Place, starring, Joe Rosario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Rosario
Context triple: [Archie Bunker's Place, starring, Joe Rosario]
  • A. 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.
  • B. John Femia
    John Femia is an actor known for playing the character Marshall Blechtman.
  • C. Anthony Perrotti
    Anthony Perrotti is a former Rutgers University wrestler best known for becoming the program’s first NCAA All-American in over a decade and helping elevate the Scarlet Knights wrestling program to national prominence.
  • D. Joe Rinaldi
    Joe Rinaldi was an American screenwriter and story artist best known for his work on classic Walt Disney animated films in the mid-20th century.
  • E. Ray Ferraro
    Ray Ferraro is a former Canadian professional ice hockey player and prominent NHL broadcaster known for his long playing career and work as a television analyst.
  • 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: Joe Rosario
Triple: [Archie Bunker's Place, starring, Joe Rosario]
Generated description
Joe Rosario is an actor known for his role in the American sitcom "Archie Bunker's Place."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joe Rosario
Target entity description: Joe Rosario is an actor known for his role in the American sitcom "Archie Bunker's Place."
  • A. 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.
  • B. John Femia
    John Femia is an actor known for playing the character Marshall Blechtman.
  • C. Anthony Perrotti
    Anthony Perrotti is a former Rutgers University wrestler best known for becoming the program’s first NCAA All-American in over a decade and helping elevate the Scarlet Knights wrestling program to national prominence.
  • D. Joe Rinaldi
    Joe Rinaldi was an American screenwriter and story artist best known for his work on classic Walt Disney animated films in the mid-20th century.
  • E. Ray Ferraro
    Ray Ferraro is a former Canadian professional ice hockey player and prominent NHL broadcaster known for his long playing career and work as a television analyst.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4cb76548190bd98876f8ba925b7 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ea4f7f081909c94b7062c0d4dde completed March 28, 2026, 6:32 p.m.
NEDg Description generation batch_69c81f54f95081909e8b35541b78b3ff completed March 28, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69c81fd4d67481909f6b23edae0392ee completed March 28, 2026, 6:37 p.m.
Created at: March 27, 2026, 2:39 p.m.