Triple

T7554519
Position Surface form Disambiguated ID Type / Status
Subject Mrs Henderson Presents E178624 entity
Predicate castMember P1668 FINISHED
Object Anna Brewster
Anna Brewster is an English actress and model known for her roles in film and television, including period dramas and independent features.
E673547 NE FINISHED

How this triple was built (4 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: Anna Brewster | Statement: [Mrs Henderson Presents, castMember, Anna Brewster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Brewster
Context triple: [Mrs Henderson Presents, castMember, Anna Brewster]
  • A. Maria Cotton Mather
    Maria Cotton Mather was the mother of the influential New England Puritan minister and writer Cotton Mather.
  • B. Dorothy Bradstreet
    Dorothy Bradstreet was a colonial New England woman known primarily through her marriage into the prominent Cotton family, including her husband, minister Seaborn Cotton.
  • C. Mary Bowne
    Mary Bowne was a colonial-era New Yorker known primarily as the daughter of Quaker pioneer and religious freedom advocate John Bowne.
  • D. Zilpah Wadsworth
    Zilpah Wadsworth was the daughter of American Revolutionary War general Peleg Wadsworth and the mother of poet Henry Wadsworth Longfellow.
  • E. Elizabeth Hartwell
    Elizabeth Hartwell was the wife of American Founding Father and statesman Roger Sherman.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anna Brewster
Triple: [Mrs Henderson Presents, castMember, Anna Brewster]
Generated description
Anna Brewster is an English actress and model known for her roles in film and television, including period dramas and independent features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Brewster
Target entity description: Anna Brewster is an English actress and model known for her roles in film and television, including period dramas and independent features.
  • A. Maria Cotton Mather
    Maria Cotton Mather was the mother of the influential New England Puritan minister and writer Cotton Mather.
  • B. Dorothy Bradstreet
    Dorothy Bradstreet was a colonial New England woman known primarily through her marriage into the prominent Cotton family, including her husband, minister Seaborn Cotton.
  • C. Mary Bowne
    Mary Bowne was a colonial-era New Yorker known primarily as the daughter of Quaker pioneer and religious freedom advocate John Bowne.
  • D. Zilpah Wadsworth
    Zilpah Wadsworth was the daughter of American Revolutionary War general Peleg Wadsworth and the mother of poet Henry Wadsworth Longfellow.
  • E. Elizabeth Hartwell
    Elizabeth Hartwell was the wife of American Founding Father and statesman Roger Sherman.
  • F. None of above. chosen

Provenance (5 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b990148190b26a3a262cf538b3 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856be6e1c8190ba292d4d9cf1f37f completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c85765d1f48190b171ff87a15c5b74 completed March 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c8580963748190b81bd7437259da28 completed March 28, 2026, 10:36 p.m.
Created at: March 27, 2026, 3:49 p.m.