Triple

T3181636
Position Surface form Disambiguated ID Type / Status
Subject Tobias Enström E66599 entity
Predicate hasFamilyName P18 FINISHED
Object Enström
Enström is a Swedish surname most notably associated with professional ice hockey player Tobias Enström.
 E333253 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: Enström | Statement: [Tobias Enström, hasFamilyName, Enström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enström
Context triple: [Tobias Enström, hasFamilyName, Enström]
  • A. Edström
    Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
  • B. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • C. Ahlström
    Ahlström is a Finnish industrial and design-oriented company known for its collaborations with prominent designers and its production of high-quality materials and products.
  • D. Norrström
    Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
  • E. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • 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: Enström
Triple: [Tobias Enström, hasFamilyName, Enström]
Generated description
Enström is a Swedish surname most notably associated with professional ice hockey player Tobias Enström.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enström
Target entity description: Enström is a Swedish surname most notably associated with professional ice hockey player Tobias Enström.
  • A. Edström
    Edström is a Swedish surname borne by several notable figures, including athletes, politicians, and industrial leaders.
  • B. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • C. Ahlström
    Ahlström is a Finnish industrial and design-oriented company known for its collaborations with prominent designers and its production of high-quality materials and products.
  • D. Norrström
    Norrström is a short but significant river in central Stockholm that connects Lake Mälaren with the Baltic Sea and flows past several of the city’s key historic and governmental buildings.
  • E. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bd07888190b680eace8290d821 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235fd1688819080fa1d73d2b233ba completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b236e61ae88190a76b942c6cddff41 completed March 12, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69b23770ed4c8190b5d929cc95a286a0 completed March 12, 2026, 3:48 a.m.
Created at: March 8, 2026, 3:06 p.m.