Triple

T16622198
Position Surface form Disambiguated ID Type / Status
Subject Daniel Stewart E403860 entity
Predicate spouse P13 FINISHED
Object Mary Stewart E656066 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 Stewart | Statement: [Daniel Stewart, spouse, Mary Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Stewart
Context triple: [Daniel Stewart, spouse, Mary Stewart]
  • A. Mary Stewart chosen
    Mary Stewart was a medieval Scottish noblewoman and daughter of Robert Stewart, Duke of Albany, who became connected to European aristocracy through her marriages.
  • B. Rosemary Follett
    Rosemary Follett is an Australian politician who became the first woman to lead a government in Australia when she served as the inaugural Chief Minister of the Australian Capital Territory.
  • C. Astrid Lindley
    Astrid Lindley is known as the wife of late Pro Football Hall of Famer and broadcaster Frank Gifford.
  • D. Barbara Maitland
    Barbara Maitland is one of the main ghostly protagonists in Tim Burton’s film "Beetlejuice," a recently deceased woman trying to reclaim her home from unwelcome living occupants.
  • E. Margery Allingham
    Margery Allingham was a British crime novelist best known for her Albert Campion detective series, a cornerstone of the Golden Age of detective fiction.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b5afc081908d16f0b43fff20fc completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.