Triple

T4588716
Position Surface form Disambiguated ID Type / Status
Subject Arne Jacobsen E103431 entity
Predicate familyName P18 FINISHED
Object Jacobsen
Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
E455460 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: Jacobsen | Statement: [Arne Jacobsen, familyName, Jacobsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacobsen
Context triple: [Arne Jacobsen, familyName, Jacobsen]
  • A. Jacobs
    Jacobs is a surname most notably associated with Harriet Jacobs, the African-American writer and abolitionist who authored the influential slave narrative "Incidents in the Life of a Slave Girl."
  • B. Jenssen
    Jenssen is a Scandinavian surname, particularly common in Norway, that originated as a patronymic form meaning "son of Jens."
  • C. Johnsen
    Johnsen is a surname of Scandinavian origin, commonly used as a patronymic family name meaning "son of John."
  • D. Chosen Jacobs
    Chosen Jacobs is an American actor and singer best known for his role as Mike Hanlon in the horror film "It" (2017) and its sequel.
  • E. Eisenberg
    Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
  • 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: Jacobsen
Triple: [Arne Jacobsen, familyName, Jacobsen]
Generated description
Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jacobsen
Target entity description: Jacobsen is a common Danish surname borne by numerous notable figures in fields such as design, architecture, literature, and politics.
  • A. Jacobs
    Jacobs is a surname most notably associated with Harriet Jacobs, the African-American writer and abolitionist who authored the influential slave narrative "Incidents in the Life of a Slave Girl."
  • B. Jenssen
    Jenssen is a Scandinavian surname, particularly common in Norway, that originated as a patronymic form meaning "son of Jens."
  • C. Johnsen
    Johnsen is a surname of Scandinavian origin, commonly used as a patronymic family name meaning "son of John."
  • D. Chosen Jacobs
    Chosen Jacobs is an American actor and singer best known for his role as Mike Hanlon in the horror film "It" (2017) and its sequel.
  • E. Eisenberg
    Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd592115fc8190b1aee1d8bbaf1ee3 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0b9f700819082b0e5171132d0f3 completed March 21, 2026, 12:05 a.m.
NEDg Description generation batch_69bde31735a481909d005e6c44e2f114 completed March 21, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69bde6d185088190b94580f53038d883 completed March 21, 2026, 12:31 a.m.
Created at: March 20, 2026, 1:11 p.m.