Triple

T6520655
Position Surface form Disambiguated ID Type / Status
Subject Mary Jo Kopechne E148371 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the first name of Mary Jo Kopechne, a political campaign specialist whose death in the 1969 Chappaquiddick incident drew national attention.
E148371 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 Jo Kopechne, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Mary Jo Kopechne, givenName, Mary]
  • A. Mary
    Mary is the given first name of the acclaimed American actress Meryl Streep.
  • B. Mary
    Mary Eleanor Darwin was a member of the Darwin family, known primarily as a descendant of the naturalist Charles Darwin.
  • C. Mary
    Mary I of England was the 16th-century Queen of England and Ireland best known for her attempt to restore Roman Catholicism and for the Marian persecutions that earned her the nickname "Bloody Mary."
  • D. Mary
    Mary is a studio album by Ghanaian rapper Sarkodie, known for its highlife influences and tribute to his late grandmother.
  • E. Mary
    Mary is the first name of American soccer legend Abby Wambach, one of the most prolific goal scorers in international women’s football.
  • 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 Jo Kopechne, givenName, Mary]
Generated description
Mary is the first name of Mary Jo Kopechne, a political campaign specialist whose death in the 1969 Chappaquiddick incident drew national attention.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the first name of Mary Jo Kopechne, a political campaign specialist whose death in the 1969 Chappaquiddick incident drew national attention.
  • A. Mary chosen
    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 given name of Mary Church Terrell, a prominent African American civil rights activist, educator, and suffragist in the late 19th and early 20th centuries.
  • C. Mary
    Mary is the first name of American soccer legend Abby Wambach, one of the most prolific goal scorers in international women’s football.
  • 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 first name of Margaret Truman, the daughter of U.S. President Harry S. Truman and a noted author and singer.
  • F. None of above.

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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9431f081909b14b3df3414a55f completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40c193c8190b4d7acd4530121f0 completed March 27, 2026, 8:09 p.m.
NEDg Description generation batch_69c6e50db2cc8190932c4d44257acb83 completed March 27, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69c6e5eacefc819092d0e9f79d90c4a6 completed March 27, 2026, 8:17 p.m.
Created at: March 27, 2026, 1:45 p.m.