Triple

T1053473
Position Surface form Disambiguated ID Type / Status
Subject Frank Sinatra E22748 entity
Predicate influenced P9 FINISHED
Object Michael Bublé E114853 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: Michael Bublé | Statement: [Frank Sinatra, influenced, Michael Bublé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bublé
Context triple: [Frank Sinatra, influenced, Michael Bublé]
  • A. Michael Bublé chosen
    Michael Bublé is a Canadian singer and songwriter renowned for his smooth vocals and modern interpretations of traditional pop and jazz standards.
  • B. John Tedder
    John Tedder is known primarily as the son of Arthur Tedder, the prominent British air marshal and senior Royal Air Force commander during World War II.
  • C. James Blunt
    James Blunt is an English singer-songwriter and former British Army officer best known for his hit single "You're Beautiful" and the album "Back to Bedlam."
  • D. Harry Connick Jr.
    Harry Connick Jr. is an American singer, pianist, composer, and actor known for his jazz and big band recordings as well as his work in film and television.
  • E. Bruno Mars
    Bruno Mars is an American singer, songwriter, producer, and performer known for his versatile blend of pop, R&B, funk, and soul, as well as his dynamic stage presence and numerous chart-topping hits.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d669448190955507e2e4975b9f completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1b4c3481909ec58291dc9cc32f completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.