Triple

T6966494
Position Surface form Disambiguated ID Type / Status
Subject Franklin Cover E161501 entity
Predicate coStarredWith P14987 FINISHED
Object Marla Gibbs E168270 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: Marla Gibbs | Statement: [Franklin Cover, coStarredWith, Marla Gibbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marla Gibbs
Context triple: [Franklin Cover, coStarredWith, 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. 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.
  • C. Vicki Harper
    Vicki Harper is known as the former spouse of Australian film director Phillip Noyce.
  • D. Renee Montgomery
    Renee Montgomery is a former WNBA point guard, two-time league champion, and social justice advocate who later became a co-owner and executive of the Atlanta Dream.
  • E. Rita Taggart
    Rita Taggart is an American actress known for her character roles in film and television since the 1970s.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a57b8481908cef7de9b3abf7a3 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.