Triple

T11465608
Position Surface form Disambiguated ID Type / Status
Subject Ozark E271771 entity
Predicate composer P1361 FINISHED
Object Danny Bensi E417696 NE FINISHED

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: Danny Bensi | Statement: [Ozark, composer, Danny Bensi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Bensi
Context triple: [Ozark, composer, Danny Bensi]
  • A. Danny Bensi chosen
    Danny Bensi is a film composer known for his atmospheric and often unsettling scores for contemporary thrillers and dramas.
  • B. Danny Mastrogiorgio
    Danny Mastrogiorgio is an American actor known for his work on Broadway, film, and television, including a role in the 2016 revival of "The Front Page."
  • C. Danny Rocco
    Danny Rocco is an American college football coach best known for leading multiple FCS programs, including successful tenures at Liberty, Richmond, and the University of Delaware.
  • D. Danny Tamberelli
    Danny Tamberelli is an American actor, comedian, and musician best known for his childhood roles on Nickelodeon shows like The Adventures of Pete & Pete and All That.
  • E. Dan Iassogna
    Dan Iassogna is a veteran Major League Baseball umpire who has officiated numerous postseason games, including serving as crew chief in the World Series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9377ff4819096971a77e0181eaf completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.