Triple

T9162688
Position Surface form Disambiguated ID Type / Status
Subject Kathleen Turner E219864 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the given first name of the American actress Kathleen Turner, known for her distinctive husky voice and prominent film roles in the 1980s.
 E781453 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: [Kathleen Turner, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary
Context triple: [Kathleen Turner, givenName, Mary]
  • A. Mary
    Mary is a central figure in Christianity, venerated as the mother of Jesus and often honored as the Virgin Mary.
  • B. Mary
    Mary is the given first name of Margaret Truman, the daughter of U.S. President Harry S. Truman and a noted author and singer.
  • C. Mary
    Mary is the given name of the American suspense novelist Mary Higgins Clark, known for her bestselling mystery and thriller books.
  • D. Mary
    Mary is the middle name of Katherine Mary Dewar, a component of her full personal name.
  • E. Mary
    Mary Allerton was a Mayflower passenger and one of the early settlers of Plymouth Colony in 17th-century New England.
  • 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: [Kathleen Turner, givenName, Mary]
Generated description
Mary is the given first name of the American actress Kathleen Turner, known for her distinctive husky voice and prominent film roles in the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary
Target entity description: Mary is the given first name of the American actress Kathleen Turner, known for her distinctive husky voice and prominent film roles in the 1980s.
  • A. Mary
    Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
  • 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, singer, director, and screenwriter Mary Kay Place, known for her work in film and television since the 1970s.
  • D. Mary
    Mary is the given name of American silent film actress Mae Marsh, known for her roles in early 20th-century cinema.
  • E. Mary
    Mary is the birth name of American actress, singer, and dancer Debbie Reynolds, a major Hollywood star of the mid-20th century.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2c1a9881909b7100b6e436386d completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054770a0c819095cf0a7cc8d1a057 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d0551895e48190bf1a4754bb5ab94c completed April 4, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69d055b23f8c8190973832f60402c703 completed April 4, 2026, 12:05 a.m.
Created at: March 30, 2026, 7:21 p.m.