Triple

T5346878
Position Surface form Disambiguated ID Type / Status
Subject John Tarleton E124078 entity
Predicate spouse P13 FINISHED
Object Jane Parker E126748 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: Jane Parker | Statement: [John Tarleton, spouse, Jane Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Parker
Context triple: [John Tarleton, spouse, Jane Parker]
  • A. Jane Parker chosen
    Jane Parker was the mother of British cavalry officer and politician Banastre Tarleton, a prominent figure in the American Revolutionary War.
  • B. Mary Chester
    Mary Chester was a British aristocrat best known as the wife of Robert Jenkinson, 2nd Earl of Liverpool, who served as Prime Minister of the United Kingdom in the early 19th century.
  • C. Mary Ellen
    Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
  • D. Jean Parker
    Jean Parker was an American film and stage actress best known for her roles in 1930s Hollywood productions, including the adaptation of "Little Women."
  • E. Mary Barstow
    Mary Barstow was the second wife of American illustrator Norman Rockwell and the mother of his three sons.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ede7c481908347d557aa4d19ad completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21cd34a08190857dd960c12fec0c completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.