Triple

T21446473
Position Surface form Disambiguated ID Type / Status
Subject Katie Bueller E529089 entity
Predicate creator P184 FINISHED
Object John Hughes — 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: John Hughes | Statement: [Katie Bueller, creator, John Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Hughes
Context triple: [Katie Bueller, creator, John Hughes]
  • A. John Hughes
    John Hughes was a 19th-century Irish-born American Catholic archbishop of New York who played a major role in expanding Catholic education in the United States.
  • B. John Hughes chosen
    John Hughes was an influential American filmmaker and screenwriter best known for his iconic 1980s teen comedies and heartfelt coming-of-age films such as "The Breakfast Club," "Sixteen Candles," and "Ferris Bueller's Day Off."
  • C. John Hughes
    John Hughes was a 19th-century Welsh industrialist whose establishment of a major steelworks in the Russian Empire led to the development of the city that became Donetsk.
  • D. John Hughes
    John Hughes was an English poet, essayist, and librettist of the early 18th century, known for his literary works and contributions to the arts in London.
  • E. John Hughes
    John Hughes is a visual effects pioneer and entrepreneur best known as the co-founder of the Academy Award–winning VFX company Rhythm & Hues Studios.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9cea7bc81909ee3e1cdeda1fe7e completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.