Triple

T17435220
Position Surface form Disambiguated ID Type / Status
Subject Troy Kotsur E423983 entity
Predicate portrayedCharacter P1668 FINISHED
Object Frank Rossi NE NERFINISHED

How this triple was built (2 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: Frank Rossi | Statement: [Troy Kotsur, portrayedCharacter, Frank Rossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Rossi
Context triple: [Troy Kotsur, portrayedCharacter, Frank Rossi]
  • A. Frank Rossi chosen
    Frank Rossi is the deaf father in the film "CODA," whose relationship with his hearing daughter is central to the story’s exploration of family, identity, and communication.
  • B. John Riggi
    John Riggi is an American television writer, producer, and director known for his work on acclaimed series such as 30 Rock and The Comeback.
  • C. John Femia
    John Femia is an actor known for playing the character Marshall Blechtman.
  • D. Mike Repole
    Mike Repole is an American entrepreneur and investor best known as the co-founder of Vitaminwater and BodyArmor sports drink, and as a prominent figure in the beverage industry and thoroughbred horse racing.
  • E. Anthony T. Rossi
    Anthony T. Rossi was an Italian-American entrepreneur best known as the founder of Tropicana, a major juice and beverage company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490361c081908fd24f9a812f212c completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.