Triple

T15804793
Position Surface form Disambiguated ID Type / Status
Subject Fred Tatasciore E383183 entity
Predicate name P16 FINISHED
Object Fred Tatasciore 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: Fred Tatasciore | Statement: [Fred Tatasciore, name, Fred Tatasciore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Tatasciore
Context triple: [Fred Tatasciore, name, Fred Tatasciore]
  • A. Fred Tatasciore chosen
    Fred Tatasciore is an American voice actor known for his deep, powerful vocal performances in numerous animated series, films, and video games, often portraying larger-than-life or monstrous characters.
  • B. Frank Santillo
    Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
  • C. John Scurti
    John Scurti is an American actor best known for his role as Lieutenant Ken "Lou" Shea on the television drama series "Rescue Me."
  • D. John Cusimano
    John Cusimano is an American lawyer, musician, and television producer best known as the longtime husband of celebrity chef and TV host Rachael Ray.
  • E. Paul DeLucia
    Paul DeLucia, better known as Paul Ricca, was a prominent Chicago mob boss and influential leader of the Chicago Outfit during the mid-20th century.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b525b1c08190acffab06d89dbdbe completed April 16, 2026, 10:08 a.m.
Created at: April 10, 2026, 4:48 a.m.