Triple

T13724558
Position Surface form Disambiguated ID Type / Status
Subject Louis Walsh E329119 entity
Predicate managedAct P25513 FINISHED
Object Boyzone E699233 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: Boyzone | Statement: [Louis Walsh, managedAct, Boyzone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyzone
Context triple: [Louis Walsh, managedAct, Boyzone]
  • A. Boyzone chosen
    Boyzone is an Irish boy band formed in the early 1990s, known for their pop ballads and significant chart success in the UK and internationally.
  • B. Westlife
    Westlife is an Irish pop vocal group best known for their string of late-1990s and 2000s chart-topping ballads and harmonies.
  • C. Deacon Blue
    Deacon Blue is a Scottish pop-rock band formed in the 1980s, known for their melodic songwriting and chart success in the UK.
  • D. Junior Orange Order
    The Junior Orange Order is a youth wing of the Protestant fraternal organization the Orange Order, aimed at introducing children and teenagers to its religious, cultural, and loyalist traditions.
  • E. Take That
    Take That is a British pop group formed in Manchester in 1990, known for their chart-topping hits, elaborate live shows, and status as one of the UK’s most successful boy bands.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f52e748190b49c34e10ab8ac34 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d60cd048190b20c4e6f49f816a6 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.