Triple

T11264079
Position Surface form Disambiguated ID Type / Status
Subject Margaret Douglas E266637 entity
Predicate child P120 FINISHED
Object Elizabeth Stewart E719753 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: Elizabeth Stewart | Statement: [Margaret Douglas, child, Elizabeth Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Stewart
Context triple: [Margaret Douglas, child, Elizabeth Stewart]
  • A. Elizabeth Stewart chosen
    Elizabeth Stewart was a medieval Scottish noblewoman, notable as a daughter of Walter Stewart, Earl of Atholl, and a member of the influential Stewart family.
  • B. Elizabeth Rees-Williams
    Elizabeth Rees-Williams is a Welsh socialite and actress known for her marriages to prominent actors, including Richard Harris and later Peter O'Toole.
  • C. Elizabeth Riddell
    Elizabeth Riddell was the wife of American actor and former professional athlete Chuck Connors.
  • D. Elizabeth Kitley
    Elizabeth Kitley is an American college basketball center for Virginia Tech, recognized as one of the top players in the nation and a multi-time ACC Player of the Year.
  • E. Elizabeth Louise Henderson
    Elizabeth Louise Henderson was the wife of American actor Robert Young, known for their long marriage that paralleled his Hollywood and television career.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94d56048190bf808e1bc2188714 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccc7fdc48190a84b8b584f67b464 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.