Triple

T2080991
Position Surface form Disambiguated ID Type / Status
Subject Sally Ride Science E45240 entity
Predicate foundedBy P104 FINISHED
Object Karen Flammer E311015 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: Karen Flammer | Statement: [Sally Ride Science, foundedBy, Karen Flammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Flammer
Context triple: [Sally Ride Science, foundedBy, Karen Flammer]
  • A. Karen Flammer chosen
    Karen Flammer is a physicist and educator best known as a co-founder of Sally Ride Science, an organization dedicated to promoting STEM education, especially for girls.
  • B. Jen Flanz
    Jen Flanz is a television producer best known for her leadership role on the satirical news program "The Daily Show."
  • C. Karen Rosenfelt
    Karen Rosenfelt is an American film producer known for her work on major studio franchises and popular young adult adaptations, including entries in the Twilight series.
  • D. Fern Kraemer
    Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
  • E. Stefanie Ehrlich
    Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba345be48190a1895f388e7749e5 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc25d9348190a216c53d1c7f8820 completed March 11, 2026, 5:22 a.m.
Created at: March 4, 2026, 7:41 p.m.