Triple

T20957210
Position Surface form Disambiguated ID Type / Status
Subject Super Session E516131 entity
Predicate engineer P184 FINISHED
Object Fred Catero 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 Catero | Statement: [Super Session, engineer, Fred Catero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Catero
Context triple: [Super Session, engineer, Fred Catero]
  • A. Fred Catero chosen
    Fred Catero was an American recording engineer and record producer known for his work on landmark rock and jazz albums of the 1960s and 1970s.
  • B. Fred Caruso
    Fred Caruso is an American film producer best known for his work on David Lynch’s acclaimed neo-noir film "Blue Velvet."
  • C. Frank Perconte
    Frank Perconte is a real-life World War II paratrooper of Easy Company, 506th Parachute Infantry Regiment, whose experiences were depicted in the miniseries "Band of Brothers."
  • D. Gene Quintano
    Gene Quintano is an American screenwriter, director, and producer best known for his work on action-comedy films such as the Police Academy series and other Hollywood genre movies.
  • E. Frank Santillo
    Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6c2f1481908360fb86d2b6a8e4 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:28 p.m.