Triple

T2319018
Position Surface form Disambiguated ID Type / Status
Subject Anne of Great Britain E51133 entity
Predicate givenName P17 FINISHED
Object Anne
Anne was the Queen of Great Britain and Ireland from 1702 to 1714, the last monarch of the House of Stuart.
 E255657 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: Anne | Statement: [Anne of Great Britain, givenName, Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anne
Context triple: [Anne of Great Britain, givenName, Anne]
  • A. Anne
    Anne is traditionally revered in Christian tradition as the mother of the Virgin Mary and the grandmother of Jesus.
  • B. Anne
    Anne is the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
  • C. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • D. Kate
    Kate is a common diminutive form of the given name Catherine, frequently used in English-speaking countries.
  • E. Kate
    Kate is the Allied reporting name for the Nakajima B5N, a Japanese World War II carrier-based torpedo bomber aircraft.
  • 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: Anne
Triple: [Anne of Great Britain, givenName, Anne]
Generated description
Anne was the Queen of Great Britain and Ireland from 1702 to 1714, the last monarch of the House of Stuart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anne
Target entity description: Anne was the Queen of Great Britain and Ireland from 1702 to 1714, the last monarch of the House of Stuart.
  • A. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • B. Anne
    Anne is traditionally revered in Christian tradition as the mother of the Virgin Mary and the grandmother of Jesus.
  • C. Anne
    Anne is the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
  • D. Kate
    Kate is a common diminutive form of the given name Catherine, frequently used in English-speaking countries.
  • E. Kate
    Kate is the Allied reporting name for the Nakajima B5N, a Japanese World War II carrier-based torpedo bomber aircraft.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc630b7ec819088735bde27fdabfe completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8966cc0c819092ad299645b0aa71 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8b3693c481909c3f5f28c9b55e92 completed March 9, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_69ae8bab9a3c8190aac39006ac3744a9 completed March 9, 2026, 8:58 a.m.
Created at: March 4, 2026, 7:49 p.m.