Triple

T12530836
Position Surface form Disambiguated ID Type / Status
Subject I've Got the World on a String E299557 entity
Predicate notableRecordingBy P1152 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: [I've Got the World on a String, notableRecordingBy, Michael Bublé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bublé
Context triple: [I've Got the World on a String, notableRecordingBy, 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. Eric Benét
    Eric Benét is an American R&B and neo-soul singer, songwriter, and actor known for his smooth vocals and romantic ballads.
  • D. Alan Willis Thicke
    Alan Willis Thicke was a Canadian actor, songwriter, and television host best known for his role as Jason Seaver on the sitcom "Growing Pains."
  • E. 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.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc8866c81908821525b595715e2 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.