Triple

T849862
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Pepys E18359 entity
Predicate givenName P17 FINISHED
Object Elisabeth
Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
 E113408 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: Elisabeth | Statement: [Elisabeth Pepys, givenName, Elisabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elisabeth
Context triple: [Elisabeth Pepys, givenName, Elisabeth]
  • A. Louise of Great Britain
    Louise of Great Britain was a British princess who became Queen of Denmark and Norway through her marriage to King Frederick V.
  • B. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • C. Eleanor
    Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
  • D. Eleanor
    Eleanor was one of the merchant ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest against British taxation in 1773.
  • E. Charlotte of Mecklenburg-Strelitz
    Charlotte of Mecklenburg-Strelitz was the Queen consort of Great Britain and Ireland (later the United Kingdom), known for her long marriage to King George III and her patronage of the arts and botany.
  • 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: Elisabeth
Triple: [Elisabeth Pepys, givenName, Elisabeth]
Generated description
Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elisabeth
Target entity description: Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • A. Louise of Great Britain
    Louise of Great Britain was a British princess who became Queen of Denmark and Norway through her marriage to King Frederick V.
  • B. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • C. Eleanor
    Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
  • D. Eleanor
    Eleanor was one of the merchant ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest against British taxation in 1773.
  • E. Charlotte of Mecklenburg-Strelitz
    Charlotte of Mecklenburg-Strelitz was the Queen consort of Great Britain and Ireland (later the United Kingdom), known for her long marriage to King George III and her patronage of the arts and botany.
  • 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_69a4ac215194819099e6bc1b5df58fb3 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11907a988190945e5e5ec8a26ccf completed March 7, 2026, 11:52 a.m.
NEDg Description generation batch_69ac12f09744819084a8486e157db474 completed March 7, 2026, 11:58 a.m.
NED2 Entity disambiguation (via description) batch_69ac1342004881908b9da2192e1aad3f completed March 7, 2026, noon
Created at: March 1, 2026, 7:38 p.m.