Triple

T16062506
Position Surface form Disambiguated ID Type / Status
Subject Sue Tyler Friedman Medal E389645 entity
Predicate namedAfter P63 FINISHED
Object Sue Tyler Friedman
Sue Tyler Friedman was a prominent geologist and historian of geology recognized for her influential work on the development of geological thought.
E1192084 NE FINISHED

How this triple was built (4 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: Sue Tyler Friedman | Statement: [Sue Tyler Friedman Medal, namedAfter, Sue Tyler Friedman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sue Tyler Friedman
Context triple: [Sue Tyler Friedman Medal, namedAfter, Sue Tyler Friedman]
  • A. Sue Rossen
    Sue Rossen was the wife of American film director and screenwriter Robert Rossen.
  • B. Sue Snyder
    Sue Snyder is an American public figure and advocate best known as the wife of former Michigan Governor Rick Snyder and for her involvement in charitable and civic initiatives in the state.
  • C. Marilyn Friedman
    Marilyn Friedman is an American philosopher known for her work in feminist ethics, political philosophy, and the concept of autonomy.
  • D. Sue Ann Kahn
    Sue Ann Kahn is an American flutist and music educator known for her performances of contemporary and chamber music.
  • E. Marla Frumkin
    Marla Frumkin is an American voice actress best known for portraying Velma Dinkley in the Scooby-Doo animated franchise.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sue Tyler Friedman
Triple: [Sue Tyler Friedman Medal, namedAfter, Sue Tyler Friedman]
Generated description
Sue Tyler Friedman was a prominent geologist and historian of geology recognized for her influential work on the development of geological thought.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sue Tyler Friedman
Target entity description: Sue Tyler Friedman was a prominent geologist and historian of geology recognized for her influential work on the development of geological thought.
  • A. Sue Rossen
    Sue Rossen was the wife of American film director and screenwriter Robert Rossen.
  • B. Sue Snyder
    Sue Snyder is an American public figure and advocate best known as the wife of former Michigan Governor Rick Snyder and for her involvement in charitable and civic initiatives in the state.
  • C. Marilyn Friedman
    Marilyn Friedman is an American philosopher known for her work in feminist ethics, political philosophy, and the concept of autonomy.
  • D. Sue Ann Kahn
    Sue Ann Kahn is an American flutist and music educator known for her performances of contemporary and chamber music.
  • E. Marla Frumkin
    Marla Frumkin is an American voice actress best known for portraying Velma Dinkley in the Scooby-Doo animated franchise.
  • F. None of above. chosen

Provenance (5 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837a04108190b5a1dbbe2063039e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ca9748190be24a490c3cf0e8c completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe50986b4819095bb9cd568fcf972 completed May 10, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69ffe56441b881909e3a97331e3821d2 completed May 10, 2026, 1:54 a.m.
Created at: April 10, 2026, 4:57 a.m.