Triple

T14910757
Position Surface form Disambiguated ID Type / Status
Subject Scott Klug E371253 entity
Predicate succeededBy P78 FINISHED
Object Tammy Baldwin E76230 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: Tammy Baldwin | Statement: [Scott Klug, succeededBy, Tammy Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tammy Baldwin
Context triple: [Scott Klug, succeededBy, Tammy Baldwin]
  • A. Tammy Baldwin chosen
    Tammy Baldwin is a U.S. Senator from Wisconsin and the first openly gay woman elected to both the U.S. House of Representatives and the U.S. Senate.
  • B. Maria Cantwell
    Maria Cantwell is a long-serving Democratic U.S. Senator from Washington known for her work on technology, energy, and consumer protection issues.
  • C. Patty Murray
    Patty Murray is a long-serving Democratic U.S. senator from Washington known for her leadership roles in the Senate and work on budget, education, and health policy.
  • D. Patricia Schroeder
    Patricia Schroeder was a pioneering American politician and long-serving U.S. Representative from Colorado known for her advocacy on women's rights, family issues, and government reform.
  • E. Meg Richardson
    Meg Richardson is a central character in the long-running British television soap opera "Crossroads," known for her role as the matriarchal figure associated with the motel around which the series revolves.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded61c6b9c8190a92934d49b98fe46 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bcf32a48190b1f036016f2689b7 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:26 a.m.