Triple

T7736497
Position Surface form Disambiguated ID Type / Status
Subject Rachel Jackson (designate) E175394 entity
Predicate name P16 FINISHED
Object Rachel Jackson E175394 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: Rachel Jackson | Statement: [Rachel Jackson (designate), name, Rachel Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Jackson
Context triple: [Rachel Jackson (designate), name, Rachel Jackson]
  • A. Rachel Jackson (designate) chosen
    Rachel Jackson (designate) was the wife of Andrew Jackson who, had she lived past his inauguration in 1829, would have become First Lady of the United States.
  • B. Mother Jefferson
    Mother Jefferson is the sharp-tongued, opinionated mother of George Jefferson on the classic American sitcom "The Jeffersons."
  • C. Martha Washington
    Martha Washington was the first First Lady of the United States, a wealthy widow who managed large estates and played a key role as a social and political hostess during George Washington’s leadership.
  • D. Alexandra Jackson
    Alexandra Jackson is one of the daughters of American country music singer-songwriter Alan Jackson.
  • E. Dolley Madison
    Dolley Madison was an influential First Lady of the United States, renowned for her social leadership in Washington, D.C., and for saving important artifacts from the White House during the War of 1812.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035923108190842025631e2314cc completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be355e04819088598b5c7d61b848 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:06 p.m.