Triple

T6715233
Position Surface form Disambiguated ID Type / Status
Subject World Music Awards E153249 entity
Predicate hasFounder P104 FINISHED
Object Melissa Corken E153249 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: Melissa Corken | Statement: [World Music Awards, hasFounder, Melissa Corken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melissa Corken
Context triple: [World Music Awards, hasFounder, Melissa Corken]
  • A. Melissa Corken chosen
    Melissa Corken is a music industry figure best known as the founder of the World Music Awards, an international awards show recognizing global recording artists.
  • B. Julie Greenwald
    Julie Greenwald is a prominent American music industry executive known for her leadership roles at major record labels and for guiding the careers of numerous successful artists.
  • C. Melissa Rosenberg
    Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
  • D. Melissa Schuman
    Melissa Schuman is an American singer and actress best known as a member of the girl group Dream and for her roles in early-2000s teen films.
  • E. Carolyn Strauss
    Carolyn Strauss is an American television executive and producer best known for her influential work at HBO, including helping develop and produce acclaimed series such as Game of Thrones.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1246b748190aed94e8ab8625f7e completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70afa805c819098312fc0d06ec115 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:07 p.m.