Triple

T7651381
Position Surface form Disambiguated ID Type / Status
Subject Torsten Hägerstrand E173259 entity
Predicate givenName P17 FINISHED
Object Torsten
Torsten is a masculine given name of Scandinavian origin, commonly used in Sweden and other Nordic countries.
 E680254 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: Torsten | Statement: [Torsten Hägerstrand, givenName, Torsten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torsten
Context triple: [Torsten Hägerstrand, givenName, Torsten]
  • A. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • B. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • C. Detlev
    Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
  • D. Edström
    Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
  • E. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • 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: Torsten
Triple: [Torsten Hägerstrand, givenName, Torsten]
Generated description
Torsten is a masculine given name of Scandinavian origin, commonly used in Sweden and other Nordic countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torsten
Target entity description: Torsten is a masculine given name of Scandinavian origin, commonly used in Sweden and other Nordic countries.
  • A. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • B. Horst
    Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
  • C. Detlev
    Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
  • D. Edström
    Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
  • E. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70175e4b88190bc40c839a42180d4 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aeb66c081909f3a3d6385637c25 completed March 29, 2026, 3:22 a.m.
NEDg Description generation batch_69c89ed393648190a32cf9267968faf5 completed March 29, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_69c89f35a7488190a6a9bc3d10bedd5a completed March 29, 2026, 3:40 a.m.
Created at: March 27, 2026, 3:58 p.m.