Triple

T4322634
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Nine-Nine E96553 entity
Predicate starredActor P5563 FINISHED
Object Melissa Fumero E129935 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 Fumero | Statement: [Brooklyn Nine-Nine, starredActor, Melissa Fumero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melissa Fumero
Context triple: [Brooklyn Nine-Nine, starredActor, Melissa Fumero]
  • A. Melissa Fumero chosen
    Melissa Fumero is an American actress best known for playing Detective Amy Santiago on the television comedy series "Brooklyn Nine-Nine."
  • B. Karen Olivo
    Karen Olivo is a Tony Award–winning American stage actress and singer known for her acclaimed performances in major Broadway productions such as In the Heights, West Side Story, and Moulin Rouge! The Musical.
  • C. Molly Gordon
    Molly Gordon is an American actress and director known for her roles in films like "Booksmart" and "Good Boys" and the TV series "The Bear."
  • D. Jenna Ushkowitz
    Jenna Ushkowitz is an American actress and singer best known for playing Tina Cohen-Chang on the television series "Glee."
  • E. Natalie Desselle
    Natalie Desselle was an American actress best known for her comedic roles in film and television, including her memorable performance in the 1997 adaptation of "Cinderella."
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351177eb88190b89fa49a88add5e8 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db950f5c8190ba67d8e2f8da50dc completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:12 p.m.