Triple

T5321568
Position Surface form Disambiguated ID Type / Status
Subject The Women (1939 film) E121684 entity
Predicate starred P5563 FINISHED
Object Mary Boland
Mary Boland was an American stage and film actress best known for her comedic character roles in early 20th-century Hollywood cinema.
E512223 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: Mary Boland | Statement: [The Women (1939 film), starred, Mary Boland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Boland
Context triple: [The Women (1939 film), starred, Mary Boland]
  • A. Mary Cleary
    Mary Cleary was the wife of Commodore John Barry, an early U.S. naval officer often called the "Father of the American Navy."
  • B. Mary Fitzgerald
    Mary Fitzgerald is the daughter of Mary Josephine Hannon Fitzgerald, placing her in the prominent Fitzgerald family associated with early 20th-century Boston politics.
  • C. Katherine Parnell
    Katherine Parnell was a 19th-century Irishwoman best known as the sister of British Army officer and Victoria Cross recipient Sir Evelyn Wood.
  • D. Mary Durkan
    Mary Durkan is an Irish politician known for her involvement in local and national public affairs.
  • E. Leonora O’Reilly
    Leonora O’Reilly was an American labor organizer and suffragist who became a prominent figure in the early 20th-century women’s rights and labor movements.
  • 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: Mary Boland
Triple: [The Women (1939 film), starred, Mary Boland]
Generated description
Mary Boland was an American stage and film actress best known for her comedic character roles in early 20th-century Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Boland
Target entity description: Mary Boland was an American stage and film actress best known for her comedic character roles in early 20th-century Hollywood cinema.
  • A. Mary Cleary
    Mary Cleary was the wife of Commodore John Barry, an early U.S. naval officer often called the "Father of the American Navy."
  • B. Mary Fitzgerald
    Mary Fitzgerald is the daughter of Mary Josephine Hannon Fitzgerald, placing her in the prominent Fitzgerald family associated with early 20th-century Boston politics.
  • C. Katherine Parnell
    Katherine Parnell was a 19th-century Irishwoman best known as the sister of British Army officer and Victoria Cross recipient Sir Evelyn Wood.
  • D. Mary Durkan
    Mary Durkan is an Irish politician known for her involvement in local and national public affairs.
  • E. Leonora O’Reilly
    Leonora O’Reilly was an American labor organizer and suffragist who became a prominent figure in the early 20th-century women’s rights and labor movements.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85761ec48190879210af116ed8b9 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18a4dff48190bce18f0106c7a8e7 completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf1a493ddc8190ac5d1889b9d64ec2 completed March 21, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69bf1aa2fbec819088cd8be8505e4697 completed March 21, 2026, 10:24 p.m.
Created at: March 20, 2026, 1:59 p.m.