Triple

T19912963
Position Surface form Disambiguated ID Type / Status
Subject Rock n Roll E478593 entity
Predicate hasTrack P3284 FINISHED
Object Boys 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: Boys | Statement: [Rock n Roll, hasTrack, Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boys
Context triple: [Rock n Roll, hasTrack, Boys]
  • A. Boys chosen
    "Boys" is an early rock and roll song best known for its energetic recording by The Beatles, featuring Ringo Starr on lead vocals.
  • B. Boys
    "Boys" is a 2017 pop single by Charli XCX, best known for its catchy hook and a music video featuring numerous male celebrities in traditionally feminized, playful scenarios.
  • C. Boys
    Boys is a 2003 Tamil coming-of-age musical film directed by S. Shankar that follows a group of carefree college friends who form a band and navigate love, ambition, and societal pressures.
  • D. Girls and Boys
    "Girls and Boys" is an indie-pop album by singer-songwriter Ingrid Michaelson that helped bring her melodic, introspective style to a wider audience.
  • E. BOY
    BOY is the IATA airport code for Bobo-Dioulasso Airport, serving the city of Bobo-Dioulasso in Burkina Faso.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659917fdc8190bf29bfdab0fe8f85 completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.