Triple

T171696
Position Surface form Disambiguated ID Type / Status
Subject Nicholas II of Russia E3490 entity
Predicate givenName P17 FINISHED
Object Nicholas
Nicholas is a masculine given name of Greek origin, commonly used in many cultures and historically borne by numerous saints, rulers, and notable figures.
 E28979 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: Nicholas | Statement: [Nicholas II of Russia, givenName, Nicholas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicholas
Context triple: [Nicholas II of Russia, givenName, Nicholas]
  • A. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. Frederic
    Frederic is the given name of Frederic Edwin Church, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • C. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • 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: Nicholas
Triple: [Nicholas II of Russia, givenName, Nicholas]
Generated description
Nicholas is a masculine given name of Greek origin, commonly used in many cultures and historically borne by numerous saints, rulers, and notable figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicholas
Target entity description: Nicholas is a masculine given name of Greek origin, commonly used in many cultures and historically borne by numerous saints, rulers, and notable figures.
  • A. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. Frederic
    Frederic is the given name of Frederic Edwin Church, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • C. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258b94d00819098e90bdfa1306f9f completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a358763c10819085252de003a45435 completed Feb. 28, 2026, 9:04 p.m.
NEDg Description generation batch_69a359ca6f448190acfc1cf7e06481e2 completed Feb. 28, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69a35a1a6cf08190ab0eb267e053f1cd completed Feb. 28, 2026, 9:11 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.