Triple

T171114
Position Surface form Disambiguated ID Type / Status
Subject Dee Dee Ramone E3123 entity
Predicate name P16 FINISHED
Object Dee Dee Ramone E3123 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: Dee Dee Ramone | Statement: [Dee Dee Ramone, name, Dee Dee Ramone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dee Dee Ramone
Context triple: [Dee Dee Ramone, name, Dee Dee Ramone]
  • A. Dee Dee Ramone chosen
    Dee Dee Ramone was the bassist, songwriter, and founding member of the pioneering punk rock band the Ramones.
  • B. Brian Bilello
    Brian Bilello is an American soccer executive best known for leading Major League Soccer’s New England Revolution as the club’s president.
  • C. Don Front
    Don Front was a major Soviet military formation on the Eastern Front of World War II, instrumental in the encirclement and defeat of German forces at Stalingrad.
  • D. Arthur Lee
    Arthur Lee was an American diplomat and member of the prominent Lee family of Virginia who played a key role in securing French support for the United States during the Revolutionary War.
  • E. Don Maynard
    Don Maynard was a Hall of Fame American football wide receiver best known as Joe Namath’s primary deep threat and a key offensive star for the New York Jets during the 1960s.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b94d00819098e90bdfa1306f9f completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2eb7a519c81909922f45628f43c69 completed Feb. 28, 2026, 1:19 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.