Triple

T8158566
Position Surface form Disambiguated ID Type / Status
Subject Rowdy Records E190514 entity
Predicate notableArtist P601 FINISHED
Object Monica E736879 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: [Rowdy Records, notableArtist, Monica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica
Context triple: [Rowdy Records, notableArtist, 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 chosen
    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.

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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb455213f08190a4327a2116c7381f completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf4205d7a08190839c10bdfc476d9f completed April 3, 2026, 4:28 a.m.
Created at: March 30, 2026, 5:38 p.m.