Triple

T16171433
Position Surface form Disambiguated ID Type / Status
Subject P. R. Brown E392445 entity
Predicate hasWorkedWith P9615 FINISHED
Object The Backstreet Boys E107052 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: The Backstreet Boys | Statement: [P. R. Brown, hasWorkedWith, The Backstreet Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Backstreet Boys
Context triple: [P. R. Brown, hasWorkedWith, The Backstreet Boys]
  • A. Backstreet Boys chosen
    Backstreet Boys are an American vocal harmony boy band that rose to global fame in the late 1990s with pop hits like "I Want It That Way" and "Everybody (Backstreet's Back)."
  • B. NSYNC
    NSYNC is an American boy band that rose to fame in the late 1990s and early 2000s with pop hits and elaborate performances, becoming one of the era’s most popular musical acts.
  • C. New Kids on the Block
    New Kids on the Block is an American pop boy band that rose to fame in the late 1980s and early 1990s with a string of hit singles and massive commercial success.
  • D. Back Street
    Back Street is a 1961 romantic drama film starring John Gavin, based on Fannie Hurst’s novel about a woman who becomes the lifelong mistress of a married man.
  • E. Back Street
    Back Street is one of the main commercial streets in Philipsburg, Sint Maarten, known for its shops, local businesses, and proximity to the town’s waterfront attractions.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb7ab1481908fc35bfc8c56e5f2 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01ddcf76fc81908b455c570e12d4d8 completed May 11, 2026, 1:46 p.m.
Created at: April 10, 2026, 5:02 a.m.