Triple

T2723783
Position Surface form Disambiguated ID Type / Status
Subject Wyclef Jean E60141 entity
Predicate producerOf P490 FINISHED
Object Maria Maria E147652 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: Maria Maria | Statement: [Wyclef Jean, producerOf, Maria Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Maria
Context triple: [Wyclef Jean, producerOf, Maria Maria]
  • A. Maria Maria chosen
    "Maria Maria" is a Latin rock and R&B-influenced hit song by Santana featuring The Product G&B that became one of the defining tracks of the late 1990s and early 2000s.
  • B. Mariamne II
    Mariamne II was a Judean queen and the third wife of Herod the Great, briefly serving as queen consort during the late first century BCE.
  • C. Basilissa Ouranon
    Basilissa Ouranon is the Greek name for the Queen of Heaven, a revered celestial goddess figure associated with divine authority and the heavens.
  • D. Maria
    Maria is the birth name of Marie Curie, the pioneering physicist and chemist who conducted groundbreaking research on radioactivity.
  • E. Maria
    Maria is the young Puerto Rican woman at the heart of the musical "West Side Story," whose forbidden romance with Tony drives the story’s modern retelling of "Romeo and Juliet."
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaca581881908fe8d3d820f839b7 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69605308190b5a8078b275791fb completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.