Triple

T14016246
Position Surface form Disambiguated ID Type / Status
Subject Spies Like Us E337210 entity
Predicate starring P1507 FINISHED
Object Donna Dixon E343784 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: Donna Dixon | Statement: [Spies Like Us, starring, Donna Dixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donna Dixon
Context triple: [Spies Like Us, starring, Donna Dixon]
  • A. Donna Dixon chosen
    Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
  • B. Darlene Gillespie
    Darlene Gillespie is an American singer and former child actress best known as one of the original Mouseketeers on the 1950s television show The Mickey Mouse Club.
  • C. Donna Love
    Donna Love is a central matriarchal figure on the American soap opera "Another World," known for her complex family relationships and dramatic storylines.
  • D. Brenda Malone
    Brenda Malone is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Malone.
  • E. Darlene Edwards
    Darlene Edwards is the deliberately off-key, comedic singing persona created and performed by American vocalist Jo Stafford.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd095ca5081908d7fed82e9ef0252 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:19 p.m.