Triple

T4340581
Position Surface form Disambiguated ID Type / Status
Subject Povel Ramel E97568 entity
Predicate spouse P13 FINISHED
Object Susanna Ramel
Susanna Ramel was a Swedish actress and dancer known for her work in film and theater and for her marriage to entertainer Povel Ramel.
E434984 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: Susanna Ramel | Statement: [Povel Ramel, spouse, Susanna Ramel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susanna Ramel
Context triple: [Povel Ramel, spouse, Susanna Ramel]
  • A. Susanna Reuttinger
    Susanna Reuttinger was the second wife of the renowned German astronomer Johannes Kepler, whom he married after the death of his first wife.
  • B. Cecilia Nessen
    Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • C. Susanna Nelson
    Susanna Nelson was a daughter of Edmund Nelson, the Anglican clergyman best known as the father of Admiral Horatio Nelson.
  • D. Thea Almerigotti
    Thea Almerigotti was the wife of Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
  • E. Serafina Pekkala
    Serafina Pekkala is a powerful witch queen from Philip Pullman’s *His Dark Materials* trilogy, known for her wisdom, long life, and crucial aid to Lyra Belacqua.
  • 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: Susanna Ramel
Triple: [Povel Ramel, spouse, Susanna Ramel]
Generated description
Susanna Ramel was a Swedish actress and dancer known for her work in film and theater and for her marriage to entertainer Povel Ramel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susanna Ramel
Target entity description: Susanna Ramel was a Swedish actress and dancer known for her work in film and theater and for her marriage to entertainer Povel Ramel.
  • A. Susanna Reuttinger
    Susanna Reuttinger was the second wife of the renowned German astronomer Johannes Kepler, whom he married after the death of his first wife.
  • B. Cecilia Nessen
    Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
  • C. Susanna Nelson
    Susanna Nelson was a daughter of Edmund Nelson, the Anglican clergyman best known as the father of Admiral Horatio Nelson.
  • D. Thea Almerigotti
    Thea Almerigotti was the wife of Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
  • E. Serafina Pekkala
    Serafina Pekkala is a powerful witch queen from Philip Pullman’s *His Dark Materials* trilogy, known for her wisdom, long life, and crucial aid to Lyra Belacqua.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35170a6648190a15ffb21640ee478 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4f6643081909a2ad9a7d057ea2a completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e57d85808190a3a4418bbd2a66c8 completed March 14, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5e5eb85dc819087ce983114208231 completed March 14, 2026, 10:49 p.m.
Created at: March 12, 2026, 11:14 p.m.