Triple

T14537287
Position Surface form Disambiguated ID Type / Status
Subject Force Majeure E341080 entity
Predicate castMember P1668 FINISHED
Object Clara Wettergren
Clara Wettergren is an actress known for her role in the acclaimed Swedish dark comedy-drama film "Force Majeure."
E1104477 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: Clara Wettergren | Statement: [Force Majeure, castMember, Clara Wettergren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara Wettergren
Context triple: [Force Majeure, castMember, Clara Wettergren]
  • A. Greta Lundgren
    Greta Lundgren is a daughter of Swedish actor and martial artist Dolph Lundgren.
  • B. Anette Brifalk
    Anette Brifalk is known as the wife of Swedish politician and former Liberal Party leader Jan Björklund.
  • C. Sofia Levander
    Sofia Levander is a Swedish writer and former financial journalist best known as the wife of Spotify co-founder and CEO Daniel Ek.
  • D. Clara Westhoff
    Clara Westhoff was a German sculptor and painter associated with the Worpswede artists' colony and known for her modernist work and marriage to poet Rainer Maria Rilke.
  • E. Kristen Hydén
    Kristen Hydén is a composer known for creating the score for the Danish horror film "Antichrist."
  • 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: Clara Wettergren
Triple: [Force Majeure, castMember, Clara Wettergren]
Generated description
Clara Wettergren is an actress known for her role in the acclaimed Swedish dark comedy-drama film "Force Majeure."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clara Wettergren
Target entity description: Clara Wettergren is an actress known for her role in the acclaimed Swedish dark comedy-drama film "Force Majeure."
  • A. Greta Lundgren
    Greta Lundgren is a daughter of Swedish actor and martial artist Dolph Lundgren.
  • B. Anette Brifalk
    Anette Brifalk is known as the wife of Swedish politician and former Liberal Party leader Jan Björklund.
  • C. Sofia Levander
    Sofia Levander is a Swedish writer and former financial journalist best known as the wife of Spotify co-founder and CEO Daniel Ek.
  • D. Clara Westhoff
    Clara Westhoff was a German sculptor and painter associated with the Worpswede artists' colony and known for her modernist work and marriage to poet Rainer Maria Rilke.
  • E. Kristen Hydén
    Kristen Hydén is a composer known for creating the score for the Danish horror film "Antichrist."
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bb90008190947ac0961393446d completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5ae04881909e7eb766fca33066 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7b0160a08190ae181eb7acb3b6bc completed May 8, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd7be778dc81908b0602bab944330a completed May 8, 2026, 6 a.m.
Created at: April 10, 2026, 1:22 a.m.