Triple

T14421174
Position Surface form Disambiguated ID Type / Status
Subject Martin Lorentzon E357586 entity
Predicate familyName P18 FINISHED
Object Lorentzon
Lorentzon is a Swedish surname most notably associated with Martin Lorentzon, the co-founder of Spotify.
E1099415 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: Lorentzon | Statement: [Martin Lorentzon, familyName, Lorentzon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorentzon
Context triple: [Martin Lorentzon, familyName, Lorentzon]
  • A. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • B. Lennertz
    Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
  • C. Loren
    Loren is a given name used for people of any gender, often as a variant or shortened form of names like Lorenzo or Lauren.
  • D. Lyov
    Lyov is a transliterated form of the Russian given name Lev, commonly associated with figures like the writer Leo (Lev) Tolstoy.
  • E. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • 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: Lorentzon
Triple: [Martin Lorentzon, familyName, Lorentzon]
Generated description
Lorentzon is a Swedish surname most notably associated with Martin Lorentzon, the co-founder of Spotify.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorentzon
Target entity description: Lorentzon is a Swedish surname most notably associated with Martin Lorentzon, the co-founder of Spotify.
  • A. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • B. Lennertz
    Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
  • C. Loren
    Loren is a given name used for people of any gender, often as a variant or shortened form of names like Lorenzo or Lauren.
  • D. Lyov
    Lyov is a transliterated form of the Russian given name Lev, commonly associated with figures like the writer Leo (Lev) Tolstoy.
  • E. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcb131c8190935d9bacb1afc995 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5e188a148190bb166b7d50ad3b46 completed May 8, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd5ea592cc8190a47a2f6a511c0549 completed May 8, 2026, 3:55 a.m.
Created at: April 10, 2026, 1:18 a.m.