Triple

T991699
Position Surface form Disambiguated ID Type / Status
Subject Back to Bedlam E21405 entity
Predicate artist P184 FINISHED
Object James Blunt E3429 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: James Blunt | Statement: [Back to Bedlam, artist, James Blunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Blunt
Context triple: [Back to Bedlam, artist, James Blunt]
  • A. James Blunt chosen
    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."
  • B. Ed Sheeran
    Ed Sheeran is an English singer-songwriter and musician known for his melodic pop hits, acoustic ballads, and global commercial success.
  • C. John Mayer
    John Mayer is an American singer-songwriter and virtuoso guitarist known for blending blues, rock, and pop in both chart-topping hits and acclaimed live performances.
  • D. Michael Bublé
    Michael Bublé is a Canadian singer and songwriter renowned for his smooth vocals and modern interpretations of traditional pop and jazz standards.
  • E. Sam Smith
    Sam Smith is an English singer-songwriter known for their soulful pop ballads and powerful vocals, with multiple Grammy and Brit Awards to their name.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c25e5081909ff1ada6b8bf617a completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a1684ac8190952d7143fe9a5e7f completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.