Triple

T20924809
Position Surface form Disambiguated ID Type / Status
Subject World on a String E515310 entity
Predicate hasNotableRecordingBy P1152 FINISHED
Object Michael Bublé 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: Michael Bublé | Statement: [World on a String, hasNotableRecordingBy, Michael Bublé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bublé
Context triple: [World on a String, hasNotableRecordingBy, 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. Josh Groban
    Josh Groban is an American singer, songwriter, and actor known for his powerful baritone voice and crossover classical-pop ballads.
  • C. Julian Bunetta
    Julian Bunetta is an American songwriter and record producer known for his work with major pop artists such as One Direction and Meghan Trainor.
  • D. Eric Benét
    Eric Benét is an American R&B and neo-soul singer, songwriter, and actor known for his smooth vocals and romantic ballads.
  • E. Dave Koz
    Dave Koz is an American smooth jazz saxophonist and composer known for his melodic style, numerous chart-topping albums, and collaborations across the contemporary jazz and pop scenes.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f651278481909e7194f892703828 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.