Triple

T15387
Position Surface form Disambiguated ID Type / Status
Subject Ruth Bader Ginsburg E307 entity
Predicate givenName P17 FINISHED
Object Ruth
Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
 E2634 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: Ruth | Statement: [Ruth Bader Ginsburg, givenName, Ruth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruth
Context triple: [Ruth Bader Ginsburg, givenName, Ruth]
  • A. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • B. Sally Kornbluth
    Sally Kornbluth is an American cell biologist and academic leader who became the 18th president of the Massachusetts Institute of Technology.
  • C. Maxine Singer
    Maxine Singer is an American molecular biologist renowned for her pioneering work in genetics and for her leadership in shaping ethical guidelines for recombinant DNA research.
  • D. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • E. Rebecca Nurse
    Rebecca Nurse was a respected elderly Puritan woman in colonial Massachusetts who became one of the most famous individuals executed during the Salem witch trials.
  • 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: Ruth
Triple: [Ruth Bader Ginsburg, givenName, Ruth]
Generated description
Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruth
Target entity description: Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
  • A. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • B. Sally Kornbluth
    Sally Kornbluth is an American cell biologist and academic leader who became the 18th president of the Massachusetts Institute of Technology.
  • C. Maxine Singer
    Maxine Singer is an American molecular biologist renowned for her pioneering work in genetics and for her leadership in shaping ethical guidelines for recombinant DNA research.
  • D. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • E. Rebecca Nurse
    Rebecca Nurse was a respected elderly Puritan woman in colonial Massachusetts who became one of the most famous individuals executed during the Salem witch trials.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a2400257208190b3cd87ad2a06c18f completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e56618081909ba0879a05cd698c completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a250c8cf7c8190b71c65d204d21fd8 completed Feb. 28, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69a2514627f081909a032877d07b30bf completed Feb. 28, 2026, 2:21 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.