Triple

T9494604
Position Surface form Disambiguated ID Type / Status
Subject Texas State Cemetery E228972 entity
Predicate hasBurial P196 FINISHED
Object Ann Richards E701563 NE FINISHED

How this triple was built (2 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: Ann Richards | Statement: [Texas State Cemetery, hasBurial, Ann Richards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Richards
Context triple: [Texas State Cemetery, hasBurial, Ann Richards]
  • A. Ann Richards chosen
    Ann Richards was an American politician and Democrat who served as the 45th governor of Texas from 1991 to 1995 and became known for her sharp wit and advocacy for women and minorities.
  • B. Lauro Cavazos
    Lauro Cavazos was the first Hispanic U.S. Secretary of Education, serving under Presidents Ronald Reagan and George H. W. Bush.
  • C. Anna Eleanor Dall
    Anna Eleanor Dall was the granddaughter of U.S. President Franklin D. Roosevelt and First Lady Eleanor Roosevelt, known primarily as a member of the prominent Roosevelt family.
  • D. Michele Hicks
    Michele Hicks is an American actress and former fashion model known for her roles in television series such as "The Shield" and various independent films.
  • E. Ron Rice
    Ron Rice was an influential American experimental filmmaker associated with New York’s underground cinema scene in the early 1960s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ea4a04819092c7842361c6296e completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d2e2a64819097d87b3cf304f036 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.