Triple

T10697557
Position Surface form Disambiguated ID Type / Status
Subject Evan Bayh E252183 entity
Predicate mother P120 FINISHED
Object Marvella Hern Bayh E252183 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: Marvella Hern Bayh | Statement: [Evan Bayh, mother, Marvella Hern Bayh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvella Hern Bayh
Context triple: [Evan Bayh, mother, Marvella Hern Bayh]
  • A. Marvella Hern Bayh chosen
    Marvella Hern Bayh was an American political figure and advocate, known for her work in public service and as the first wife of U.S. Senator Birch Bayh.
  • B. Lore Harp McGovern
    Lore Harp McGovern is an entrepreneur and philanthropist best known for co-founding the McGovern Institute for Brain Research at MIT and supporting neuroscience and technology initiatives.
  • C. Susan Mills
    Susan Mills was an American educator and philanthropist best known for co-founding Mills College, one of the first women’s colleges in the western United States.
  • D. Katherine Whitton Baker
    Katherine Whitton Baker is an American actress known for her award-winning performances in film and television, including her role in the series "Picket Fences."
  • E. Jean Sherman
    Jean Sherman is the central female protagonist in the 1920s-set drama "The Roaring Twenties," embodying the era’s glamour and emotional stakes.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd89390c8190969ab2b4a79d5818 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb703b1ec8190b11fbb381c929a90 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:12 p.m.