Triple

T10274947
Position Surface form Disambiguated ID Type / Status
Subject Danealia Mineta E240938 entity
Predicate spouse P13 FINISHED
Object Norman Mineta E47859 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: Norman Mineta | Statement: [Danealia Mineta, spouse, Norman Mineta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Mineta
Context triple: [Danealia Mineta, spouse, Norman Mineta]
  • A. Norman Mineta chosen
    Norman Mineta was an American politician who served as U.S. Secretary of Transportation and longtime congressman, noted for his leadership on transportation policy and civil rights.
  • B. Ronald G. Brown
    Ronald G. Brown is an author known for writing the work titled "Honey."
  • C. Ronald H. Brown
    Ronald H. Brown was the first African American U.S. Secretary of Commerce and a prominent lawyer and political leader who served in the Clinton administration.
  • D. John K. Minasian
    John K. Minasian was an American structural engineer best known for helping design Seattle’s iconic Space Needle.
  • E. John A. Volpe
    John A. Volpe was an American politician who served as Governor of Massachusetts and later as U.S. Secretary of Transportation and Ambassador to Italy.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d28a9c508190824867c04e8dcbe7 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75001586c8190a0d4af1ff5588f0e completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:37 a.m.