Triple

T3998185
Position Surface form Disambiguated ID Type / Status
Subject Paul Anka E87147 entity
Predicate spouse P13 FINISHED
Object Anne de Zogheb
Anne de Zogheb was a former fashion model who became known as the longtime wife of singer-songwriter Paul Anka.
E406044 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 de Zogheb | Statement: [Paul Anka, spouse, Anne de Zogheb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne de Zogheb
Context triple: [Paul Anka, spouse, Anne de Zogheb]
  • A. Yolande
    Yolande is a feminine given name of French origin, commonly considered a variant of Yolanda.
  • B. Mafalda of Savoy
    Mafalda of Savoy was an Italian princess, daughter of King Victor Emmanuel III, best known for her tragic death in the Buchenwald concentration camp during World War II.
  • C. Marie of Montpellier
    Marie of Montpellier was a French noblewoman and heiress, best known as the queen consort of Peter II of Aragon and the mother of King James I of Aragon.
  • D. Maria Francesca of Savoy
    Maria Francesca of Savoy was an Italian princess of the House of Savoy and the youngest daughter of King Victor Emmanuel III of Italy.
  • E. Ludovika
    Ludovika is a feminine given name, used as a variant spelling of Ludovica in various European languages.
  • 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 de Zogheb
Triple: [Paul Anka, spouse, Anne de Zogheb]
Generated description
Anne de Zogheb was a former fashion model who became known as the longtime wife of singer-songwriter Paul Anka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne de Zogheb
Target entity description: Anne de Zogheb was a former fashion model who became known as the longtime wife of singer-songwriter Paul Anka.
  • A. Yolande
    Yolande is a feminine given name of French origin, commonly considered a variant of Yolanda.
  • B. Mafalda of Savoy
    Mafalda of Savoy was an Italian princess, daughter of King Victor Emmanuel III, best known for her tragic death in the Buchenwald concentration camp during World War II.
  • C. Marie of Montpellier
    Marie of Montpellier was a French noblewoman and heiress, best known as the queen consort of Peter II of Aragon and the mother of King James I of Aragon.
  • D. Maria Francesca of Savoy
    Maria Francesca of Savoy was an Italian princess of the House of Savoy and the youngest daughter of King Victor Emmanuel III of Italy.
  • E. Ludovika
    Ludovika is a feminine given name, used as a variant spelling of Ludovica in various European languages.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa3ef7ac8190abe02f440ff83c43 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c57f60c819080e237b4b056d73b completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54dbaf3d88190962e5c0b5b4604d4 completed March 14, 2026, 11:59 a.m.
NED2 Entity disambiguation (via description) batch_69b54e16cde48190bb82f0eb04470629 completed March 14, 2026, 12:01 p.m.
Created at: March 9, 2026, 3:34 p.m.