Triple

T6697777
Position Surface form Disambiguated ID Type / Status
Subject Marjorie Main E152794 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
E613348 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 | Statement: [Marjorie Main, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Marjorie Main, givenName, Mary]
  • A. Mary
    Mary is a significant urban and economic center in southeastern Turkmenistan, known for its role in the country’s natural gas and cotton industries.
  • B. Mary
    Mary is the given name of Mary Shelley, the English novelist best known as the author of "Frankenstein."
  • C. Mary
    Mary is the birth name of American actress Billie Burke, best known for playing Glinda the Good Witch in "The Wizard of Oz."
  • D. Mary
    Mary is the given name of Mary Church Terrell, a prominent African American civil rights activist, educator, and suffragist in the late 19th and early 20th centuries.
  • E. Mary
    Mary is the given first name of the silent film actress better known by her stage name Nita Naldi.
  • 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
Triple: [Marjorie Main, givenName, Mary]
Generated description
Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
  • A. Mary
    Mary is the given name of American silent film actress Mae Marsh, known for her roles in early 20th-century cinema.
  • B. Mary
    Mary is the given first name of the acclaimed American actress Meryl Streep.
  • C. Mary
    Mary is the given name of American actress and television icon Mary Tyler Moore, best known for her roles in "The Dick Van Dyke Show" and "The Mary Tyler Moore Show."
  • D. Mary
    Mary is the birth name of American actress, singer, and dancer Debbie Reynolds, a major Hollywood star of the mid-20th century.
  • E. Mary
    Mary is the birth name of the acclaimed British actress Vivien Leigh, renowned for her roles in "Gone with the Wind" and "A Streetcar Named Desire."
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a4da9881908d79c410b4cff868 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007f2a648190a10792840536035b completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c70262f3e48190b544be536ee0b674 completed March 27, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69c70311418c8190a902cf21187fdc51 completed March 27, 2026, 10:22 p.m.
Created at: March 27, 2026, 2:05 p.m.