Triple

T18045540
Position Surface form Disambiguated ID Type / Status
Subject Saunder Jurriaans E431761 entity
Predicate collaboratesWith P37 FINISHED
Object Danny Bensi 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: Danny Bensi | Statement: [Saunder Jurriaans, collaboratesWith, Danny Bensi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Bensi
Context triple: [Saunder Jurriaans, collaboratesWith, 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. Bobby Rondinelli
    Bobby Rondinelli is an American rock drummer best known for his work with bands like Rainbow, Black Sabbath, and Blue Öyster Cult.
  • E. 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.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff202088190ae971879348e2294 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.