Triple

T2359466
Position Surface form Disambiguated ID Type / Status
Subject Brandy Rayana Norwood E47236 entity
Predicate televisionSeries P3279 FINISHED
Object One on One E249025 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: One on One | Statement: [Brandy Rayana Norwood, televisionSeries, One on One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One on One
Context triple: [Brandy Rayana Norwood, televisionSeries, One on One]
  • A. One on One
    One on One is a novel by American author Tabitha King, known for its exploration of complex personal relationships and small-town life.
  • B. One on One chosen
    One on One is an American television sitcom that follows a sportscaster who becomes a full-time single father to his teenage daughter, blending family comedy with coming-of-age themes.
  • C. One and Only
    "One and Only" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
  • D. Once Again
    "Once Again" is a song featured on the album "Show Me."
  • E. Once Again
    Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc720b9048190a5d3b19e5e1f373a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963b84f08190b3ca60db98dd8745 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:55 p.m.