Triple

T20655954
Position Surface form Disambiguated ID Type / Status
Subject Tony Dungy E507625 entity
Predicate spouse P13 FINISHED
Object Lauren Dungy 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: Lauren Dungy | Statement: [Tony Dungy, spouse, Lauren Dungy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Dungy
Context triple: [Tony Dungy, spouse, Lauren Dungy]
  • A. Lauren Dungy chosen
    Lauren Dungy is an American author, educator, and philanthropist known for her work in foster care and adoption advocacy, as well as for co-authoring inspirational children's books.
  • B. Augusta Read Thomas
    Augusta Read Thomas is an acclaimed American composer known for her vibrant, lyrical contemporary classical works and significant contributions to modern orchestral and chamber music.
  • C. Maria Clements
    Maria Clements was the wife of American film and television actor Stanley Clements.
  • D. Anne Howe
    Anne Howe was the first wife of British comic actor Peter Sellers, with whom she had two children before their divorce.
  • E. Anne Howe
    Anne Howe is a fictional character from the comic strip "Palooka," likely serving as part of the supporting cast around the title figure.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2ed48308190b9350a323b9a7952 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.