Triple

T12496003
Position Surface form Disambiguated ID Type / Status
Subject Loretta Anne Rogers E298685 entity
Predicate givenName P17 FINISHED
Object Anne
Anne is the middle name of Loretta Anne Rogers, a prominent Canadian businesswoman and philanthropist associated with the Rogers telecommunications family.
E987737 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: [Loretta Anne Rogers, givenName, Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne
Context triple: [Loretta Anne Rogers, 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: [Loretta Anne Rogers, givenName, Anne]
Generated description
Anne is the middle name of Loretta Anne Rogers, a prominent Canadian businesswoman and philanthropist associated with the Rogers telecommunications family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne
Target entity description: Anne is the middle name of Loretta Anne Rogers, a prominent Canadian businesswoman and philanthropist associated with the Rogers telecommunications family.
  • 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 the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
  • C. 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.
  • D. 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.
  • E. Anne
    Anne is a French royal given name borne by Louise Marie Anne de Bourbon, an illegitimate daughter of King Louis XIV of France.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9aaf9c819098e8f8ba40c73363 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:57 p.m.