Triple

T20620311
Position Surface form Disambiguated ID Type / Status
Subject David John McDonald E506681 entity
Predicate spouse P13 FINISHED
Object Georgia Tennant 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: Georgia Tennant | Statement: [David John McDonald, spouse, Georgia Tennant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgia Tennant
Context triple: [David John McDonald, spouse, Georgia Tennant]
  • A. Georgia Tennant chosen
    Georgia Tennant is an English actress and producer known for roles in series like "Doctor Who" and "Merlin," as well as for her work behind the camera on various television projects.
  • B. Georgia Wells
    Georgia Wells is the determined and resourceful protagonist of the British television drama "The Widow," who embarks on a perilous journey to uncover the truth about her husband's mysterious disappearance in the Congo.
  • C. Marion Edwards
    Marion Edwards was the wife of American film and television actor Robert Cummings.
  • D. Marion Hill
    Marion Hill is the charming, wisecracking former football player and single father at the center of the 1990s sitcom "In the House."
  • E. Marion Kilpatrick
    Marion Kilpatrick was the wife of American conservative columnist and television commentator James J. Kilpatrick.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe0e22c81909f6efe21518e33f0 completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.