Triple

T14192246
Position Surface form Disambiguated ID Type / Status
Subject Mambo Kings E351740 entity
Predicate starredActor P5563 FINISHED
Object Maruschka Detmers
Maruschka Detmers is a Dutch-born actress known for her work in European cinema and international films, including a role in "The Mambo Kings."
E1085187 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: Maruschka Detmers | Statement: [Mambo Kings, starredActor, Maruschka Detmers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maruschka Detmers
Context triple: [Mambo Kings, starredActor, Maruschka Detmers]
  • A. Kaja Fehr
    Kaja Fehr is an editor known for her work on the film "One Christmas."
  • B. Michaela Dorfmeister
    Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
  • C. Michaela Reichelt
    Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
  • D. Verena Rehm
    Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
  • E. Angelica Schmitz
    Angelica Schmitz was the wife of Ukrainian-American avant-garde sculptor Alexander Archipenko, associated with his personal and artistic life.
  • 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: Maruschka Detmers
Triple: [Mambo Kings, starredActor, Maruschka Detmers]
Generated description
Maruschka Detmers is a Dutch-born actress known for her work in European cinema and international films, including a role in "The Mambo Kings."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maruschka Detmers
Target entity description: Maruschka Detmers is a Dutch-born actress known for her work in European cinema and international films, including a role in "The Mambo Kings."
  • A. Kaja Fehr
    Kaja Fehr is an editor known for her work on the film "One Christmas."
  • B. Michaela Dorfmeister
    Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
  • C. Michaela Reichelt
    Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
  • D. Verena Rehm
    Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
  • E. Angelica Schmitz
    Angelica Schmitz was the wife of Ukrainian-American avant-garde sculptor Alexander Archipenko, associated with his personal and artistic life.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1b2ace9c8190a7458e5c43a3c3d6 completed May 7, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fd1c61b994819081dcc92ae33772ed completed May 7, 2026, 11:12 p.m.
Created at: April 10, 2026, 1:04 a.m.