Triple

T14018459
Position Surface form Disambiguated ID Type / Status
Subject I Love a Mystery E337260 entity
Predicate castMember P1668 FINISHED
Object Michael Raffetto
Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
E1182474 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: Michael Raffetto | Statement: [I Love a Mystery, castMember, Michael Raffetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Raffetto
Context triple: [I Love a Mystery, castMember, Michael Raffetto]
  • A. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • B. Michael Nuccio
    Michael Nuccio is an actor known for appearing in the psychological thriller film "In the Cut."
  • C. 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.
  • D. 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.
  • E. Russell Ferrante
    Russell Ferrante is an American jazz pianist, composer, and co-founder of the Grammy-winning fusion group Yellowjackets.
  • 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: Michael Raffetto
Triple: [I Love a Mystery, castMember, Michael Raffetto]
Generated description
Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Raffetto
Target entity description: Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
  • A. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • B. Michael Nuccio
    Michael Nuccio is an actor known for appearing in the psychological thriller film "In the Cut."
  • C. 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.
  • D. 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.
  • E. Russell Ferrante
    Russell Ferrante is an American jazz pianist, composer, and co-founder of the Grammy-winning fusion group Yellowjackets.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02b55f4819098f2b18fcf17ef0e completed May 9, 2026, 10:07 p.m.
NEDg Description generation batch_69ffb0ae72e48190a3c799a7f242c94c completed May 9, 2026, 10:09 p.m.
NED2 Entity disambiguation (via description) batch_69ffb0e11fc481908a2609979dea4d59 completed May 9, 2026, 10:10 p.m.
Created at: April 9, 2026, 10:19 p.m.