Triple

T19243082
Position Surface form Disambiguated ID Type / Status
Subject post-Reformation England E481178 entity
Predicate hasMonarch P765 FINISHED
Object Anne
Anne was the last Stuart monarch of Great Britain, whose early 18th-century reign saw the unification of England and Scotland into the Kingdom of Great Britain.
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: [post-Reformation England, hasMonarch, Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne
Context triple: [post-Reformation England, hasMonarch, 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 protagonist of "The Darkest Hour," around whom the film’s central conflict and emotional journey revolve.
  • C. Anne
    Anne is one of the central child protagonists in Enid Blyton’s Famous Five adventure series, known for her kindness, domestic sense, and cautious nature.
  • D. Anne
    Anne is one of the child protagonists in Enid Blyton’s Famous Five series, known for her cautious nature and love of home comforts during the group’s adventures.
  • E. Anne
    Anne is one of the central child protagonists in Enid Blyton’s Famous Five series, known for her kindness, domestic sense, and participation in the group’s adventurous mysteries.
  • 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: [post-Reformation England, hasMonarch, Anne]
Generated description
Anne was the last Stuart monarch of Great Britain, whose early 18th-century reign saw the unification of England and Scotland into the Kingdom of Great Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne
Target entity description: Anne was the last Stuart monarch of Great Britain, whose early 18th-century reign saw the unification of England and Scotland into the Kingdom of Great Britain.
  • A. Anne chosen
    Anne was the Queen of Great Britain and Ireland from 1702 to 1714, the last monarch of the House of Stuart.
  • B. Anne
    Anne was the Duchess of Brittany who twice became Queen of France in the late 15th and early 16th centuries.
  • C. Anne
    Anne was the last Queen consort of Romania, wife of King Michael I and a member of the former royal family in exile.
  • D. Anne
    Anne was a Polish queen consort of the early 17th century, known as the wife of King Sigismund III Vasa and a member of the Habsburg dynasty.
  • E. Anne
    Anne is the given name of Lady Anne Temple, a historical noblewoman likely associated with the British aristocracy.
  • F. None of above.

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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf3018881909ef866616c45ff2e completed April 20, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e671e008190b591cc426c3ead1d completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070f2772e881909b3ea02f51c3feb6 completed May 15, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a070fe766d081909453b1f8563817e8 completed May 15, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:27 p.m.