Triple

T20874674
Position Surface form Disambiguated ID Type / Status
Subject Selma E513986 entity
Predicate hasNotableBearer P458 FINISHED
Object Selma Burke 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: Selma Burke | Statement: [Selma, hasNotableBearer, Selma Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selma Burke
Context triple: [Selma, hasNotableBearer, Selma Burke]
  • A. Selma Burke chosen
    Selma Burke was an influential African American sculptor and Harlem Renaissance artist best known for her portrait of Franklin D. Roosevelt, which inspired the image on the U.S. dime.
  • B. Mary Lou Lord
    Mary Lou Lord is an American indie folk singer-songwriter known for her intimate, lo-fi recordings and busking roots in the 1990s alternative music scene.
  • C. Kate Lanier
    Kate Lanier is an American screenwriter known for writing films such as "Set It Off," "What's Love Got to Do with It," and "Glitter."
  • D. Ruby Johnson
    Ruby Johnson is the sharp-tongued, opinionated, and deeply religious grandmother on the TV sitcom "Black-ish," known for her tough love and comedic flair.
  • E. Deborah Roberts
    Deborah Roberts is an American television journalist and correspondent best known for her work with ABC News programs such as 20/20 and Nightline.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c674075081909e0819b20bdbb7f4 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.