Triple

T7522062
Position Surface form Disambiguated ID Type / Status
Subject Isabel Sanford E177793 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: [Isabel Sanford, coStarredWith, Marla Gibbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marla Gibbs
Context triple: [Isabel Sanford, 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c3c4c08190ad418978afcc98ec completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8462d743481909a3cfb6d31d94d98 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.