Triple

T6284693
Position Surface form Disambiguated ID Type / Status
Subject Niall Horan E140867 entity
Predicate hasWon P2624 FINISHED
Object BMI Award E373095 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: BMI Award | Statement: [Niall Horan, hasWon, BMI Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMI Award
Context triple: [Niall Horan, hasWon, BMI Award]
  • A. ACE Award
    The ACE Award was an American accolade presented by the National Cable Television Association to honor excellence in cable television programming before the Emmy Awards expanded to include cable.
  • B. Icon Award
    The Icon Award is a TV Land Award category that honors television personalities or shows recognized for their enduring popularity and cultural impact.
  • C. Icon Award
    The Icon Award is a special honor presented at Billboard's Women in Music event to recognize female artists whose careers and influence have made a lasting impact on the music industry.
  • D. BMI Film & TV Award chosen
    The BMI Film & TV Award is an honor presented by Broadcast Music, Inc. recognizing outstanding achievement in music composition for film and television.
  • E. Imagen Award
    The Imagen Award is an honor recognizing positive portrayals and achievements of Latinos in the entertainment industry across film, television, and other media.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063fc906481908283c6c50a212515 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5196defc08190810c6d208ade918b completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:26 p.m.