Triple

T13834957
Position Surface form Disambiguated ID Type / Status
Subject Why Did I Get Married Too? E332501 entity
Predicate starredActor P5563 FINISHED
Object Keesha Sharp E444468 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: Keesha Sharp | Statement: [Why Did I Get Married Too?, starredActor, Keesha Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keesha Sharp
Context triple: [Why Did I Get Married Too?, starredActor, Keesha Sharp]
  • A. Keesha Sharp chosen
    Keesha Sharp is an American actress and director best known for her roles in television series such as "Girlfriends" and "Lethal Weapon," as well as various film and stage productions.
  • B. Sharona Fleming
    Sharona Fleming is a fictional nurse and assertive personal assistant to detective Adrian Monk on the television series "Monk."
  • C. Kelli Williams
    Kelli Williams is an American actress best known for her television roles in series such as "The Practice" and "Lie to Me."
  • D. Keesha Franklin
    Keesha Franklin is a smart, skeptical, and often sarcastic student from the animated educational series "The Magic School Bus," known for her practical mindset and witty commentary during Ms. Frizzle’s science adventures.
  • E. Shannon Doughton
    Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029b352081909605baaedc336213 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00a4fffa7c81909bcc833b44ddf66f completed May 10, 2026, 3:32 p.m.
Created at: April 9, 2026, 10:13 p.m.