Triple

T23362707
Position Surface form Disambiguated ID Type / Status
Subject Fumero E593226 entity
Predicate hasNotableBearer P458 FINISHED
Object Melissa Fumero NE NERFINISHED

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: [Fumero, hasNotableBearer, Melissa Fumero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melissa Fumero
Context triple: [Fumero, hasNotableBearer, 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. Kaya Faison
    Kaya Faison is one of the children of the late nurse Lisa Askey and actor Donald Faison.
  • C. Nina Barone
    Nina Barone is a central female character in the 1940 film noir drama "Angels Over Broadway," involved in the story’s web of crime, desperation, and redemption in New York City.
  • D. Riki Lindhome
    Riki Lindhome is an American actress, comedian, and musician best known as one half of the musical comedy duo Garfunkel and Oates and for her work in television and film comedy.
  • E. Abigail Spencer
    Abigail Spencer is an American actress known for her roles in television series such as "Mad Men," "Rectify," and "Timeless," as well as various film appearances.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aa0ed88190b0198cbfd1bcc59b completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.