Triple

T8207512
Position Surface form Disambiguated ID Type / Status
Subject Blessed Event E191723 entity
Predicate starring P1507 FINISHED
Object Mary Brian
Mary Brian was an American film actress best known as a popular leading lady of the silent and early sound era, often appearing in romantic comedies and dramas throughout the 1920s and 1930s.
 E720444 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 Brian | Statement: [Blessed Event, starring, Mary Brian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary Brian
Context triple: [Blessed Event, starring, Mary Brian]
  • A. Mary Kane
    Mary Kane is a pivotal supporting character in the film "Citizen Kane," known as Charles Foster Kane’s mother whose early decision about his upbringing profoundly shapes his life.
  • B. Mary Kane
    Mary Kane is a film producer known for her work on the 1990 crime drama "King of New York."
  • C. Bridget Boland
    Bridget Boland was a British screenwriter, playwright, and novelist known for her work on mid-20th-century films and stage productions.
  • D. Bridget Hennessy
    Bridget Hennessy is a popular, fashion-conscious and somewhat ditzy teenage daughter portrayed by Kaley Cuoco on the sitcom "8 Simple Rules."
  • E. Mary Durkan
    Mary Durkan is an Irish politician known for her involvement in local and national public affairs.
  • 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 Brian
Triple: [Blessed Event, starring, Mary Brian]
Generated description
Mary Brian was an American film actress best known as a popular leading lady of the silent and early sound era, often appearing in romantic comedies and dramas throughout the 1920s and 1930s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary Brian
Target entity description: Mary Brian was an American film actress best known as a popular leading lady of the silent and early sound era, often appearing in romantic comedies and dramas throughout the 1920s and 1930s.
  • A. Mary Kane
    Mary Kane is a pivotal supporting character in the film "Citizen Kane," known as Charles Foster Kane’s mother whose early decision about his upbringing profoundly shapes his life.
  • B. Mary Kane
    Mary Kane is a film producer known for her work on the 1990 crime drama "King of New York."
  • C. Bridget Boland
    Bridget Boland was a British screenwriter, playwright, and novelist known for her work on mid-20th-century films and stage productions.
  • D. Bridget Hennessy
    Bridget Hennessy is a popular, fashion-conscious and somewhat ditzy teenage daughter portrayed by Kaley Cuoco on the sitcom "8 Simple Rules."
  • E. Mary Durkan
    Mary Durkan is an Irish politician known for her involvement in local and national public affairs.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726d26ec8190957da68227f5ce61 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34b49fb88190b30a89d594ed4ada completed April 1, 2026, 3:07 p.m.
NEDg Description generation batch_69cd36ef47e88190ae96ea2459552247 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4e9d362481908283d58b03c7ef9b completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:43 p.m.