Triple

T16330487
Position Surface form Disambiguated ID Type / Status
Subject Beyoncé discography E396536 entity
Predicate includesSingle P11236 FINISHED
Object Partition E245937 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: Partition | Statement: [Beyoncé discography, includesSingle, Partition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Partition
Context triple: [Beyoncé discography, includesSingle, Partition]
  • A. Partition chosen
    "Partition" is a 2013 Beyoncé song from her self-titled visual album, known for its sensual lyrics, bass-heavy production, and provocative music video.
  • B. Partition
    Partition is a 2007 historical drama film set during the 1947 partition of India, focusing on the tragic human consequences of the subcontinent’s division.
  • C. Partitions
    "Partitions" is a modernist musical composition by American composer and theorist Milton Babbitt, exemplifying his pioneering use of serial and mathematical techniques in contemporary classical music.
  • D. Division
    Division is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Near North Side.
  • E. Divide
    Divide is a small unincorporated community located in Nolan County, Texas.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4debef08190a64f13214bfa098f completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261134108190812da262b424a476 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.