Triple

T19479712
Position Surface form Disambiguated ID Type / Status
Subject Richard E. Grant E487346 entity
Predicate spouse P13 FINISHED
Object Joan Washington 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: Joan Washington | Statement: [Richard E. Grant, spouse, Joan Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Washington
Context triple: [Richard E. Grant, spouse, Joan Washington]
  • A. Joan Washington chosen
    Joan Washington was a respected British dialect coach known for her extensive work in film, television, and theatre, as well as her long marriage to actor Richard E. Grant.
  • B. Mary Little
    Mary Little is a family member of Earl Little, known primarily through her relation to him.
  • C. Jane Washington
    Jane Washington is the daughter of Jane Butler Washington, a member of the prominent Washington family of colonial Virginia.
  • D. Joanne Jefferson
    Joanne Jefferson is a character from the musical "Rent," portrayed as a driven lawyer and Maureen Johnson’s girlfriend, who navigates complex relationships and issues of identity in the story.
  • E. Mary Louise Wilson
    Mary Louise Wilson is an American actress and comedian known for her work on stage, film, and television, including a Tony Award-winning performance in the Broadway musical "Grey Gardens."
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343882a88190b3cfa65e6cac80d3 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.