Triple

T13005940
Position Surface form Disambiguated ID Type / Status
Subject Jefferson Mays E322287 entity
Predicate name P16 FINISHED
Object Jefferson Mays E322287 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: Jefferson Mays | Statement: [Jefferson Mays, name, Jefferson Mays]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jefferson Mays
Context triple: [Jefferson Mays, name, Jefferson Mays]
  • A. Jefferson Mays chosen
    Jefferson Mays is a Tony Award–winning American stage and screen actor renowned for his virtuosity in playing multiple roles and his work in both Broadway productions and film/television.
  • B. Christian Borle
    Christian Borle is a Tony Award–winning American stage and screen actor best known for his work in Broadway musicals and television.
  • C. Patrick J. Sullivan
    Patrick J. Sullivan was a notable individual interred at Mount Olivet Cemetery in Washington, D.C., recognized for his significance to the local community or broader historical record.
  • D. Michael Arden
    Michael Arden is an American actor and Tony-nominated director known for his innovative, inclusive revivals of major Broadway musicals.
  • E. Kris Marshall
    Kris Marshall is a British actor best known for his comedic and romantic roles in film and television, including prominent parts in Love Actually and the sitcom My Family.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9b27ec8190815c40a05b9ba7d0 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc5c9a88190b70bda472bf3b062 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:48 p.m.