Triple

T9340855
Position Surface form Disambiguated ID Type / Status
Subject Malin Åkerman E224759 entity
Predicate familyName P18 FINISHED
Object Åkerman
Åkerman is a Swedish surname most notably borne by Canadian-Swedish actress and model Malin Åkerman.
 E792685 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: Åkerman | Statement: [Malin Åkerman, familyName, Åkerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Åkerman
Context triple: [Malin Åkerman, familyName, Åkerman]
  • A. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • B. Åkerlund
    Åkerlund is a Swedish surname most notably associated with acclaimed music video and film director Jonas Åkerlund.
  • C. Alvik
    Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
  • D. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • E. Andersön
    Andersön is a large forested island in Sweden’s Lake Storsjön, known for its nature reserve, hiking trails, and rich birdlife.
  • 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: Åkerman
Triple: [Malin Åkerman, familyName, Åkerman]
Generated description
Åkerman is a Swedish surname most notably borne by Canadian-Swedish actress and model Malin Åkerman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Åkerman
Target entity description: Åkerman is a Swedish surname most notably borne by Canadian-Swedish actress and model Malin Åkerman.
  • A. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • B. Åkerlund
    Åkerlund is a Swedish surname most notably associated with acclaimed music video and film director Jonas Åkerlund.
  • C. Alvik
    Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
  • D. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • E. Andersön
    Andersön is a large forested island in Sweden’s Lake Storsjön, known for its nature reserve, hiking trails, and rich birdlife.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bafa9108190889397614756020d completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3f94ab88190a4c5a9129bd2ca14 completed April 4, 2026, 10:12 a.m.
NEDg Description generation batch_69d0e573af788190be4baaa3afb87ca2 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e607944c81909a421828595cd793 completed April 4, 2026, 10:20 a.m.
Created at: March 30, 2026, 7:40 p.m.