Triple

T13377502
Position Surface form Disambiguated ID Type / Status
Subject Jenna Bush Hager E319225 entity
Predicate child P120 FINISHED
Object Margaret Laura Hager E319225 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: Margaret Laura Hager | Statement: [Jenna Bush Hager, child, Margaret Laura Hager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Laura Hager
Context triple: [Jenna Bush Hager, child, Margaret Laura Hager]
  • A. Margaret Laura "Mila" Hager chosen
    Margaret Laura "Mila" Hager is the eldest daughter of former First Daughter and television personality Jenna Bush Hager and her husband Henry Hager.
  • B. Margaret Haley
    Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
  • C. Margaret Sexton
    Margaret Sexton was the wife of U.S. Navy Rear Admiral William Thomas Sampson, a prominent figure in the Spanish–American War.
  • D. Margaret Welsh
    Margaret Welsh is an American actress known for her work in film, television, and theater.
  • E. Margaret Barnhill
    Margaret Barnhill was the wife of New York businessman Cornelius Van Schaack Roosevelt and the grandmother of U.S. President Theodore Roosevelt.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce3fec48190a5443d87c85477a3 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd19164481909c2f35fbebf6150e completed May 9, 2026, 7:07 a.m.
Created at: April 9, 2026, 9:33 p.m.