Triple

T14189616
Position Surface form Disambiguated ID Type / Status
Subject Michael J. Pollard E351675 entity
Predicate spouse P13 FINISHED
Object Beth Howland E570554 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: Beth Howland | Statement: [Michael J. Pollard, spouse, Beth Howland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beth Howland
Context triple: [Michael J. Pollard, spouse, Beth Howland]
  • A. Beth Howland chosen
    Beth Howland was an American actress best known for her role as the high-strung waitress Vera Louise Gorman on the long-running sitcom "Alice."
  • B. Emily Howland
    Emily Howland was a prominent 19th- and early 20th-century American educator, abolitionist, and women's rights advocate known for her work in establishing schools for formerly enslaved people.
  • C. Hannah Howland
    Hannah Howland was a daughter of Mayflower passenger John Howland, belonging to one of the early colonial families of Plymouth Colony.
  • D. Cheryl Reeve
    Cheryl Reeve is a highly successful WNBA coach best known for leading the Minnesota Lynx to multiple league championships.
  • E. Kathy Auriemma
    Kathy Auriemma is the wife of legendary University of Connecticut women's basketball coach Geno Auriemma and is known for her long-standing support and presence alongside him throughout his 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194543f081909cb11cf0881afa90 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:03 a.m.