Triple

T18147648
Position Surface form Disambiguated ID Type / Status
Subject Robert Peter Williams E434428 entity
Predicate memberOf P10 FINISHED
Object Take That 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: Take That | Statement: [Robert Peter Williams, memberOf, Take That]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Take That
Context triple: [Robert Peter Williams, memberOf, Take That]
  • A. Take That chosen
    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.
  • 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. 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.
  • D. 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.
  • E. McFly
    McFly is a British pop rock band known for their catchy melodies, chart-topping hits in the 2000s, and energetic live performances.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de360ae88190abe1ed13243e9924 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.