Triple

T11373271
Position Surface form Disambiguated ID Type / Status
Subject Sandra Dickinson E269396 entity
Predicate child P120 FINISHED
Object Georgia Tennant E516622 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: Georgia Tennant | Statement: [Sandra Dickinson, child, Georgia Tennant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgia Tennant
Context triple: [Sandra Dickinson, child, 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. Marion Hill
    Marion Hill is the charming, wisecracking former football player and single father at the center of the 1990s sitcom "In the House."
  • C. Marion Kilpatrick
    Marion Kilpatrick was the wife of American conservative columnist and television commentator James J. Kilpatrick.
  • D. Winifred Dodge
    Winifred Dodge was a member of the prominent Dodge family, known as the daughter of American automobile pioneer John Francis Dodge.
  • E. Marion Stirling
    Marion Stirling was an American archaeologist and researcher known for her work alongside her husband Matthew Stirling in the study of ancient Mesoamerican civilizations.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8d244c8190b865260338edb532 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684d1bcd08190925cc9a2e844c900 completed April 20, 2026, 7:56 p.m.
Created at: April 8, 2026, 9:33 p.m.