Triple

T21480693
Position Surface form Disambiguated ID Type / Status
Subject Mala Powers E529980 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the given name of American actress Mala Powers, known for her film and television roles in the mid-20th century.
E1486088 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: [Mala Powers, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Mala Powers, givenName, Mary]
  • A. Mary
    Mary of Waltham, Duchess of Brittany, was a 14th-century English princess and daughter of King Edward III who became duchess through her marriage to John IV, Duke of Brittany.
  • B. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • C. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • D. Mary
    Mary is the given name of Mary Harris "Mother" Jones, the prominent American labor and community organizer of the late 19th and early 20th centuries.
  • E. Mary
    Mary is the given name of Cecil Mary Nowell Dering Tupper, likely a British individual with a traditional multi-part name.
  • 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: [Mala Powers, givenName, Mary]
Generated description
Mary is the given name of American actress Mala Powers, known for her film and television roles in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the given name of American actress Mala Powers, known for her film and television roles in the mid-20th century.
  • A. Mary
    Mary is the given name of American actress Mari Blanchard, known for her roles in 1950s and 1960s films and television.
  • B. Mary
    Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
  • C. Mary
    Mary is the given name of American silent film actress Mae Marsh, known for her roles in early 20th-century cinema.
  • D. Mary
    Mary is the given name of the American stage and film actress Josephine Hull, known for her roles in classic mid-20th-century theater and cinema.
  • E. Mary
    Mary is the given name of American actress Mary Beth Hurt, known for her work in film, television, and theater.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1b0130819088b8e96ddbb29317 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cfff6dec8190ab480491c4a3f641 completed May 17, 2026, 2:26 p.m.
NEDg Description generation batch_6a09d0cd3068819094392cc4b7c6d061 completed May 17, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_6a09d1b4f4748190b5d4edfc298272e4 completed May 17, 2026, 2:33 p.m.
Created at: April 16, 2026, 6:20 p.m.