Triple

T21536969
Position Surface form Disambiguated ID Type / Status
Subject Please Stand By E531372 entity
Predicate starring P1507 FINISHED
Object Marla Gibbs 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: Marla Gibbs | Statement: [Please Stand By, starring, Marla Gibbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marla Gibbs
Context triple: [Please Stand By, starring, Marla Gibbs]
  • A. Marla Gibbs chosen
    Marla Gibbs is an American actress and comedian best known for her Emmy-nominated role as the sharp-tongued maid Florence Johnston on the classic sitcom "The Jeffersons."
  • B. Marla Daniels
    Marla Daniels is a politically ambitious lawyer and school board member in the television series "The Wire," known for her strained marriage to police lieutenant Cedric Daniels.
  • C. Lynette White
    Lynette White is a character in the television series "The District," which follows the professional and personal lives of law enforcement officials in Washington, D.C.
  • D. Lynette
    Lynette is a character in Alfred, Lord Tennyson’s Arthurian poem cycle "Idylls of the King," known for her proud and sharp-tongued demeanor that softens as her story progresses.
  • E. Lynette
    Lynette is a character in the novel and film "The Nanny Diaries," appearing in the story’s depiction of wealthy New York family life.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0e5a9c8190894ec3666d3296aa completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.