Triple

T12970014
Position Surface form Disambiguated ID Type / Status
Subject Ann Compton E321366 entity
Predicate name P16 FINISHED
Object Ann Compton E321366 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: Ann Compton | Statement: [Ann Compton, name, Ann Compton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Compton
Context triple: [Ann Compton, name, Ann Compton]
  • A. Ann Compton chosen
    Ann Compton is an American journalist best known for her long tenure as a White House correspondent for ABC News.
  • B. Ann Coleman
    Ann Coleman was a key benefactor and restorer of France’s Château de Villandry, helping to preserve and revive the historic Renaissance estate and its renowned gardens.
  • C. Julia Compton
    Julia Compton was an American military spouse and advocate best known as the wife of U.S. Army General Hal Moore and for her influential work supporting military families.
  • D. Catherine Compton
    Catherine Compton was a British aristocrat and the mother of Spencer Perceval, the only British prime minister to have been assassinated.
  • E. Anna Crouse
    Anna Crouse is a notable member of the prominent Lindsay and Crouse family, recognized for her connection to this influential lineage.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75469a3f08190a7e417872147b455 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 8:34 p.m.