Triple

T17609264
Position Surface form Disambiguated ID Type / Status
Subject Jared Huffman E428924 entity
Predicate precededBy P97 FINISHED
Object Lynn Woolsey NE NERFINISHED

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: Lynn Woolsey | Statement: [Jared Huffman, precededBy, Lynn Woolsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynn Woolsey
Context triple: [Jared Huffman, precededBy, Lynn Woolsey]
  • A. Lynn Woolsey chosen
    Lynn Woolsey is an American politician and former Democratic member of the U.S. House of Representatives who served from 1993 to 2013, known for her progressive stances on social and anti-war issues.
  • B. Amy Loughren
    Amy Loughren is a real-life American nurse and whistleblower whose role in exposing serial killer Charles Cullen inspired the central character in the film and book "The Good Nurse."
  • C. Lori Trahan
    Lori Trahan is a Democratic U.S. Representative from Massachusetts known for her work on issues such as healthcare, education, and campaign finance reform.
  • D. Amy Lofgren
    Amy Lofgren is a music producer best known for her work on the album "Blue with Lou."
  • E. Barbara Lee
    Barbara Lee is a long-serving progressive U.S. congresswoman from California known for her anti-war stance and advocacy on social and economic justice issues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4e6ba48190804e113983e7c704 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.