Triple

T8597773
Position Surface form Disambiguated ID Type / Status
Subject River Tavy E203593 entity
Predicate nearbySettlement P350 FINISHED
Object Mary Tavy E756994 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: Mary Tavy | Statement: [River Tavy, nearbySettlement, Mary Tavy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Tavy
Context triple: [River Tavy, nearbySettlement, Mary Tavy]
  • A. Mary Tavy chosen
    Mary Tavy is a village on the western edge of Dartmoor in Devon, England, historically known for its mining industry and scenic rural setting.
  • B. Mary Bland
    Mary Bland was a member of the prominent Virginia Bland family and the mother of Revolutionary-era planter and politician Henry Lee II.
  • C. Elizabeth Tyree
    Elizabeth Tyree was an American stage actress and philanthropist known for her leadership in organizing theatrical community support efforts during World War I.
  • D. Mary Barstow
    Mary Barstow was the second wife of American illustrator Norman Rockwell and the mother of his three sons.
  • E. Margaret Avery
    Margaret Avery is an American actress best known for her Academy Award–nominated performance as Shug Avery in the film adaptation of "The Color Purple."
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf889f91288190b052c4a41359d743 completed April 3, 2026, 9:30 a.m.
Created at: March 30, 2026, 6:24 p.m.