Triple

T18372131
Position Surface form Disambiguated ID Type / Status
Subject Mary Bono E446206 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the given name of American politician and former U.S. Representative Mary Bono.
E1321190 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: [Mary Bono, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Mary Bono, givenName, Mary]
  • A. Mary
    Mary is the given name of Mary Jo Kopechne, the American political campaign specialist who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
  • B. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • C. Mary
    Mary is the central protagonist of the play "The Memory of Water," around whom the story’s emotional and familial conflicts revolve.
  • D. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • E. 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.
  • 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: [Mary Bono, givenName, Mary]
Generated description
Mary is the given name of American politician and former U.S. Representative Mary Bono.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the given name of American politician and former U.S. Representative Mary Bono.
  • A. Mary
    Mary is the given name of Mary Elizabeth Baird Bryan, an American figure known primarily in relation to her husband, politician William Jennings Bryan.
  • B. Mary
    Mary is the first name of Tipper Gore, the American social issues advocate and former Second Lady of the United States.
  • C. Mary
    Mary is the given name of Mary McLeod Bethune, a prominent African American educator, civil rights leader, and founder of Bethune-Cookman University.
  • D. Mary
    Mary is the given name of American actress Mari Blanchard, known for her roles in 1950s and 1960s films and television.
  • E. Mary
    Mary is the given first name of the American actress Elinor Donahue, known for her roles in classic television series.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51754539c819083f13b85cacb6cce completed April 19, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d77aa5788190bd1db34041de4966 completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d83fe9a08190b18b9f61ee606372 completed May 13, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_6a03d915215c819090023094f1fc47f1 completed May 13, 2026, 1:51 a.m.
Created at: April 10, 2026, 10:44 a.m.