Triple

T7927379
Position Surface form Disambiguated ID Type / Status
Subject Mondeenise Music E184100 entity
Predicate founder P104 FINISHED
Object Monica unclear NED1 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: Monica | Statement: [Mondeenise Music, founder, Monica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica
Context triple: [Mondeenise Music, founder, Monica]
  • A. Monica
    Monica is an American R&B singer and songwriter known for her powerful vocals and 1990s hits like "The Boy Is Mine" (with Brandy) and "Angel of Mine."
  • B. Monica Denise Brown
    Monica Denise Brown, known professionally as Monica, is an American R&B singer, songwriter, and actress who rose to fame in the mid-1990s with hits like "Don't Take It Personal (Just One of Dem Days)" and "The Boy Is Mine."
  • C. Monica Calhoun
    Monica Calhoun is an American actress known for her work in film and television, particularly in popular African-American ensemble dramas and comedies.
  • D. Monique
    Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
  • E. Monica Wright
    Monica Wright is a fiercely competitive and talented basketball player whose evolving romance and athletic ambitions drive the coming-of-age sports drama in the film "Love & Basketball."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aafdb5c8190b7f2ce5349305f78 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf278d5abc8190a9330918486e464f completed April 3, 2026, 2:35 a.m.
Created at: March 30, 2026, 5:07 p.m.