Triple

T843442
Position Surface form Disambiguated ID Type / Status
Subject Shelley v. Kraemer E18225 entity
Predicate party P1790 FINISHED
Object 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.
 E230078 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: Fern Kraemer | Statement: [Shelley v. Kraemer, party, Fern Kraemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fern Kraemer
Context triple: [Shelley v. Kraemer, party, Fern Kraemer]
  • A. Caryn Elaine Johnson
    Caryn Elaine Johnson is the birth name of Whoopi Goldberg, the acclaimed American actress, comedian, and television host.
  • B. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • C. Elizabeth Kolb
    Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
  • D. Anna Kuhn
    Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
  • E. Ann Rosener
    Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
  • 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: Fern Kraemer
Triple: [Shelley v. Kraemer, party, Fern Kraemer]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fern Kraemer
Target entity description: 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.
  • A. Caryn Elaine Johnson
    Caryn Elaine Johnson is the birth name of Whoopi Goldberg, the acclaimed American actress, comedian, and television host.
  • B. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • C. Elizabeth Kolb
    Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
  • D. Anna Kuhn
    Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
  • E. Ann Rosener
    Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac07fedc8190ab05595f25c1792f completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1f9fcac481909cb3f6c6dc681e60 completed March 9, 2026, 1:17 a.m.
NEDg Description generation batch_69ae20a6ce14819098007416d6377f2e completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae2130ba448190b91f590a348ebf88 completed March 9, 2026, 1:24 a.m.
Created at: March 1, 2026, 7:38 p.m.