Triple

T18823948
Position Surface form Disambiguated ID Type / Status
Subject Conviction E460334 entity
Predicate executiveProducer P7225 FINISHED
Object Michael Fresco
Michael Fresco is a television producer and director known for his work on various American TV series.
E1344976 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 Fresco | Statement: [Conviction, executiveProducer, Michael Fresco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Fresco
Context triple: [Conviction, executiveProducer, Michael Fresco]
  • 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 DeLorenzo
    Michael DeLorenzo is an American actor, dancer, and musician best known for his roles on television series such as "New York Undercover" and "Fame."
  • C. Eric Elmosnino
    Eric Elmosnino is a French actor and musician best known for his César-winning portrayal of Serge Gainsbourg in the biographical film "Gainsbourg: A Heroic Life."
  • D. James Ferraro
    James Ferraro is an American experimental musician and producer known for his pioneering work in hypnagogic pop and early vaporwave.
  • E. Michael Raffetto
    Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
  • 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 Fresco
Triple: [Conviction, executiveProducer, Michael Fresco]
Generated description
Michael Fresco is a television producer and director known for his work on various American TV series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Fresco
Target entity description: Michael Fresco is a television producer and director known for his work on various American TV series.
  • 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 DeLorenzo
    Michael DeLorenzo is an American actor, dancer, and musician best known for his roles on television series such as "New York Undercover" and "Fame."
  • C. Eric Elmosnino
    Eric Elmosnino is a French actor and musician best known for his César-winning portrayal of Serge Gainsbourg in the biographical film "Gainsbourg: A Heroic Life."
  • D. James Ferraro
    James Ferraro is an American experimental musician and producer known for his pioneering work in hypnagogic pop and early vaporwave.
  • E. Michael Raffetto
    Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bce5588190bd0aefcd0c51edad completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bcea4fc8190bc9b9e23b1925b6f completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055d25d9608190b70473a28a7d4333 completed May 14, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_6a055dbba9a481909a8c7c4c6bdab27f completed May 14, 2026, 5:29 a.m.
Created at: April 10, 2026, 11:56 a.m.