Triple

T16910134
Position Surface form Disambiguated ID Type / Status
Subject Reno 911! E410171 entity
Predicate starring P1507 FINISHED
Object Niecy Nash E374992 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: Niecy Nash | Statement: [Reno 911!, starring, Niecy Nash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niecy Nash
Context triple: [Reno 911!, starring, Niecy Nash]
  • A. Niecy Nash chosen
    Niecy Nash is an American actress, comedian, and television host known for her roles in series like Reno 911!, Claws, and When They See Us.
  • B. Donielle Nash
    Donielle Nash is an American actress and the daughter of comedian and television personality Niecy Nash.
  • C. Saffron Aldridge
    Saffron Aldridge is a British fashion model known for her work in the 1990s, including campaigns for brands like Ralph Lauren and Calvin Klein.
  • D. Me'arah O'Neal
    Me'arah O'Neal is an American basketball player and social media personality, best known as the youngest daughter of NBA Hall of Famer Shaquille O'Neal.
  • E. Vonetta McGee
    Vonetta McGee was an American actress known for her prominent roles in 1970s blaxploitation films and later dramatic works in film and television.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3ca0c481909ff361ccf4a922e3 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7bb4ac481909318d3d61a2d10e1 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.