Triple

T16438696
Position Surface form Disambiguated ID Type / Status
Subject On the Radio E399239 entity
Predicate associatedAct P37 FINISHED
Object Pete Bellotte E335231 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: Pete Bellotte | Statement: [On the Radio, associatedAct, Pete Bellotte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete Bellotte
Context triple: [On the Radio, associatedAct, Pete Bellotte]
  • A. Pete Bellotte chosen
    Pete Bellotte is a British songwriter and record producer best known for his influential work in disco music, particularly his collaborations with Donna Summer and Giorgio Moroder.
  • B. Eugene De Rosa
    Eugene De Rosa was an American architect best known for designing prominent early 20th-century theaters and movie palaces in New York City.
  • C. Ray Ferraro
    Ray Ferraro is a former Canadian professional ice hockey player and prominent NHL broadcaster known for his long playing career and work as a television analyst.
  • D. Pete Rouse
    Pete Rouse is an American political consultant and longtime adviser to Barack Obama who served as White House Chief of Staff and in other senior roles during the Obama administration.
  • E. Frank De Kova
    Frank De Kova was an American character actor best known for his numerous supporting roles in mid-20th-century film and television, often playing tough or ethnic characters in Westerns and historical dramas.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba5a4748190b63ff53bfb5957c7 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9c8de4819093ae3901cf0c8805 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:10 a.m.