Triple

T2997178
Position Surface form Disambiguated ID Type / Status
Subject Jerry Duplessis E81096 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: [Jerry Duplessis, producerOf, Maria Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Maria
Context triple: [Jerry Duplessis, 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 an alternate given name of Letizia Ramolino, the mother of Napoleon Bonaparte and a notable figure in Corsican and French history.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f612148190a5a565ba2ecc4fc0 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de9d8f6c81909c216efbf2f720fc completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 2:59 p.m.