Triple

T20140249
Position Surface form Disambiguated ID Type / Status
Subject Mrs. America E491143 entity
Predicate characterFocus P31 FINISHED
Object Phyllis Schlafly 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: Phyllis Schlafly | Statement: [Mrs. America, characterFocus, Phyllis Schlafly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phyllis Schlafly
Context triple: [Mrs. America, characterFocus, Phyllis Schlafly]
  • A. Phyllis Schlafly chosen
    Phyllis Schlafly was a conservative American activist, lawyer, and author best known for leading the successful grassroots campaign against the Equal Rights Amendment in the 1970s.
  • B. Ann Fleischer
    Ann Fleischer is best known as the first wife of former U.S. Secretary of State and Nobel Peace Prize laureate Henry Kissinger.
  • C. Betty Cuningham
    Betty Cuningham is a New York–based art dealer and gallerist known for championing contemporary and modern artists through her eponymous gallery.
  • D. Carol Nader
    Carol Nader is an author and journalist best known for co-writing the non-fiction book *The Boy Who Wouldn’t Die*.
  • E. Ruth Helms
    Ruth Helms was the wife of American film and television actor Conrad Nagel.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.