Triple

T1135915
Position Surface form Disambiguated ID Type / Status
Subject Marconi Prize E23138 entity
Predicate notableRecipient P108 FINISHED
Object John Cioffi E183762 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: John Cioffi | Statement: [Marconi Prize, notableRecipient, John Cioffi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Cioffi
Context triple: [Marconi Prize, notableRecipient, John Cioffi]
  • A. John Cioffi chosen
    John Cioffi is an American electrical engineer and Stanford professor emeritus renowned as the "father of DSL" for his pioneering work in high-speed digital communications over telephone lines.
  • B. James Marini
    James Marini is an American educator and school administrator who has served as superintendent of the Newton Public Schools in Massachusetts.
  • C. Gene Steratore
    Gene Steratore is a former NFL and NCAA football official best known as a longtime NFL referee and later rules analyst for CBS Sports.
  • D. Greg D'Auria
    Greg D'Auria is a film editor known for his work on major Hollywood productions, including the science fiction film "Star Trek Beyond."
  • E. John DeLuca
    John DeLuca is an American film producer and longtime collaborator of director Rob Marshall, known for working on major movie musicals and adaptations.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc2300c481908c60fbb1188c37c5 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad718263f08190b0f03d583abdad10 completed March 8, 2026, 12:54 p.m.
Created at: March 1, 2026, 7:44 p.m.