Triple

T14055468
Position Surface form Disambiguated ID Type / Status
Subject Carl Jacobsen E338207 entity
Predicate mother P120 FINISHED
Object Laura Holst
Laura Holst was the mother of Danish brewer and art patron Carl Jacobsen.
E1102468 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: Laura Holst | Statement: [Carl Jacobsen, mother, Laura Holst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Holst
Context triple: [Carl Jacobsen, mother, Laura Holst]
  • A. Astrid Cleve
    Astrid Cleve was a Swedish botanist, chemist, and geologist noted as one of the first women in Sweden to earn a doctorate in science and for her pioneering work in diatom research.
  • B. Johanna Bergenstråhle
    Johanna Bergenstråhle is a television producer known for her executive production work on the comedy series "The Comedians."
  • C. Ingeborg Holm
    Ingeborg Holm is a character in Thomas Mann’s novella "Tonio Kröger," representing part of the bourgeois world that shapes the protagonist’s conflicted feelings about art and ordinary life.
  • D. Helen Sjöholm
    Helen Sjöholm is a Swedish singer and actress renowned for her powerful vocals and leading roles in musical theatre and collaborations with composer Benny Andersson.
  • E. Laura Holmgren
    Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
  • 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: Laura Holst
Triple: [Carl Jacobsen, mother, Laura Holst]
Generated description
Laura Holst was the mother of Danish brewer and art patron Carl Jacobsen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laura Holst
Target entity description: Laura Holst was the mother of Danish brewer and art patron Carl Jacobsen.
  • A. Astrid Cleve
    Astrid Cleve was a Swedish botanist, chemist, and geologist noted as one of the first women in Sweden to earn a doctorate in science and for her pioneering work in diatom research.
  • B. Johanna Bergenstråhle
    Johanna Bergenstråhle is a television producer known for her executive production work on the comedy series "The Comedians."
  • C. Ingeborg Holm
    Ingeborg Holm is a character in Thomas Mann’s novella "Tonio Kröger," representing part of the bourgeois world that shapes the protagonist’s conflicted feelings about art and ordinary life.
  • D. Helen Sjöholm
    Helen Sjöholm is a Swedish singer and actress renowned for her powerful vocals and leading roles in musical theatre and collaborations with composer Benny Andersson.
  • E. Laura Holmgren
    Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8d1aa48190a5055d15d9fa220c completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d756bb48190ae5598e48b281f71 completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6efed3108190a524c64adf740303 completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f8648408190aed910a7f269abee completed May 8, 2026, 5:07 a.m.
Created at: April 9, 2026, 10:20 p.m.