Triple

T19559938
Position Surface form Disambiguated ID Type / Status
Subject Mary Sue Coleman E489420 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the given name of Mary Sue Coleman, an American chemist and former president of the University of Michigan.
E1382887 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 Sue Coleman, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Mary Sue Coleman, givenName, Mary]
  • A. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • B. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • C. 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.
  • D. Mary
    Mary is a character in the "Tunnel community" setting, known as one of the individuals living within its underground society.
  • E. Mary
    Mary is the given first name of American actress, author, and radio host Marilu Henner.
  • 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 Sue Coleman, givenName, Mary]
Generated description
Mary is the given name of Mary Sue Coleman, an American chemist and former president of the University of Michigan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the given name of Mary Sue Coleman, an American chemist and former president of the University of Michigan.
  • A. Mary
    Mary is the given name of Mary McLeod Bethune, a prominent African American educator, civil rights leader, and founder of Bethune-Cookman University.
  • B. Mary
    Mary is the given name of Mary Tyler Peabody, an American educator and reformer known for her work in the 19th century.
  • C. 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.
  • D. Mary
    Mary is the given name of Mary Everest Boole, a 19th-century mathematics educator known for her innovative ideas on teaching mathematics, especially to children.
  • E. Mary
    Mary is the given name of Mary Harriman Rumsey, an American social reformer and founder of the Junior League.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f731ae48190ade295c15db7f8ed completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0757825ddc81908c08b061a9ec0984 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a07584e664c8190967deed2e79e356b completed May 15, 2026, 5:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0758dc31bc8190858815dc24b04ac4 completed May 15, 2026, 5:33 p.m.
Created at: April 10, 2026, 1:42 p.m.