Triple

T16197813
Position Surface form Disambiguated ID Type / Status
Subject Boston Public E393112 entity
Predicate portrayedBy P1507 FINISHED
Object Loretta Devine E122677 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: Loretta Devine | Statement: [Boston Public, portrayedBy, Loretta Devine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loretta Devine
Context triple: [Boston Public, portrayedBy, Loretta Devine]
  • A. Loretta Devine chosen
    Loretta Devine is an American actress known for her warm, soulful performances in film, television, and theater, including notable roles in projects like "Waiting to Exhale" and the TV series "Grey's Anatomy."
  • B. Dorothy Malone
    Dorothy Malone was an American film and television actress best known for her Oscar-winning role in "Written on the Wind" and her later work on the TV series "Peyton Place."
  • C. Eileen Morrow
    Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
  • D. June Mulgrew
    June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
  • E. Lisa Blount
    Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dc6b1c8190a3d8a6451ed8b95a completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bf3d308190b4965d57fe327a52 completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:02 a.m.