Triple

T17287495
Position Surface form Disambiguated ID Type / Status
Subject Lady Anne Temple E419696 entity
Predicate givenName P17 FINISHED
Object Anne
Anne is the given name of Lady Anne Temple, a historical noblewoman likely associated with the British aristocracy.
E1260081 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: [Lady Anne Temple, givenName, Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne
Context triple: [Lady Anne Temple, 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 was the Queen of Great Britain and Ireland from 1702 to 1714, the last monarch of the House of Stuart.
  • C. Anne
    Anne is the protagonist of "The Darkest Hour," around whom the film’s central conflict and emotional journey revolve.
  • D. 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.
  • E. 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.
  • 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: [Lady Anne Temple, givenName, Anne]
Generated description
Anne is the given name of Lady Anne Temple, a historical noblewoman likely associated with the British aristocracy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne
Target entity description: Anne is the given name of Lady Anne Temple, a historical noblewoman likely associated with the British aristocracy.
  • A. Anne
    Anne is the given name of Lady Lucy Anne FitzGerald, an Irish noblewoman of the late 18th and early 19th centuries known for her connections to the United Irishmen movement.
  • B. Anne
    Anne is the given name of Anne Hilarion de Costentin de Tourville, a renowned French naval commander of the late 17th and early 18th centuries.
  • C. Anne
    Anne was a medieval European noblewoman, historically known as Anne of Bohemia, who lived from 1290 to 1313.
  • D. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • E. Anne
    Anne is a female given name of Hebrew origin, commonly used in many European languages and historically borne by numerous queens, saints, and notable women.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43780fad88190b82193c8335e2f11 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017957c738819087341bcd51b55114 completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a0179f16af481909f409adb5367f021 completed May 11, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a017ad8480881909ca9a9982585b08d completed May 11, 2026, 6:44 a.m.
Created at: April 10, 2026, 5:40 a.m.