Triple

T1011428
Position Surface form Disambiguated ID Type / Status
Subject Junius Brutus Booth E21831 entity
Predicate child P120 FINISHED
Object Mary Ann Booth E80326 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 Ann Booth | Statement: [Junius Brutus Booth, child, Mary Ann Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Ann Booth
Context triple: [Junius Brutus Booth, child, Mary Ann Booth]
  • A. Mary Ann Holmes chosen
    Mary Ann Holmes was the mother of renowned 19th-century American actor Edwin Booth and the wife of Shakespearean tragedian Junius Brutus Booth.
  • B. Ellen Church
    Ellen Church was an American nurse and aviation pioneer recognized as the world’s first female flight attendant.
  • C. Lydia Moore Parker
    Lydia Moore Parker was the wife of John Parker, a prominent early American frontiersman and Texas settler.
  • D. Katherine Tupper Brown
    Katherine Tupper Brown was an American woman best known as the wife of U.S. Army General and statesman George C. Marshall, supporting his military and diplomatic career during and after World War II.
  • E. Mary Ingersoll
    Mary Ingersoll was the wife of American mathematician and navigator Nathaniel Bowditch, known primarily through her association with his life and work in early 19th-century New England.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a743cc8190a46e6a14e3e8130f completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69acaca8b4f08190aec2602935bc112e completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:41 p.m.