Triple

T11049628
Position Surface form Disambiguated ID Type / Status
Subject The Good Son E261211 entity
Predicate producer P490 FINISHED
Object Mary Anne Page
Mary Anne Page is a film producer known for her work on the psychological thriller "The Good Son."
 E903490 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 Anne Page | Statement: [The Good Son, producer, Mary Anne Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary Anne Page
Context triple: [The Good Son, producer, Mary Anne Page]
  • A. Mary Ellis
    Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
  • B. Mary Scudder
    Mary Scudder is the pious, dutiful young heroine of Harriet Beecher Stowe’s novel "The Minister’s Wooing," whose moral integrity and emotional struggles drive much of the story’s drama.
  • C. Mary Ellen Lancaster
    Mary Ellen Lancaster was the mother of the infamous American bank robber John Dillinger.
  • D. Mary Wheeler
    Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
  • E. Mary Anne Dalton
    Mary Anne Dalton is best known as the former wife of American comedian and actor Tim Conway.
  • 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 Anne Page
Triple: [The Good Son, producer, Mary Anne Page]
Generated description
Mary Anne Page is a film producer known for her work on the psychological thriller "The Good Son."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary Anne Page
Target entity description: Mary Anne Page is a film producer known for her work on the psychological thriller "The Good Son."
  • A. Mary Ellis
    Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
  • B. Mary Scudder
    Mary Scudder is the pious, dutiful young heroine of Harriet Beecher Stowe’s novel "The Minister’s Wooing," whose moral integrity and emotional struggles drive much of the story’s drama.
  • C. Mary Ellen Lancaster
    Mary Ellen Lancaster was the mother of the infamous American bank robber John Dillinger.
  • D. Mary Wheeler
    Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
  • E. Mary Anne Dalton
    Mary Anne Dalton is best known as the former wife of American comedian and actor Tim Conway.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c851d5408190b12250a2a1322874 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3da8fbd388190898f4f52613543d3 completed April 18, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69e3dbbc784c8190a286bd5eb11bc44e completed April 18, 2026, 7:30 p.m.
Created at: April 8, 2026, 9:26 p.m.