Triple

T6217192
Position Surface form Disambiguated ID Type / Status
Subject Comedian Harmonists (film) E139017 entity
Predicate stars P1956 FINISHED
Object Meret Becker
Meret Becker is a German actress and singer known for her versatile performances in film, television, and theater.
E577096 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: Meret Becker | Statement: [Comedian Harmonists (film), stars, Meret Becker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meret Becker
Context triple: [Comedian Harmonists (film), stars, Meret Becker]
  • A. Ursula Paetsch
    Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
  • B. Dagmar Berghoff
    Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
  • C. Miriam Wagner
    Miriam Wagner was the wife of American television host and comedian Jack Paar.
  • D. Brigitte Herbst
    Brigitte Herbst was the wife of Hans Frank, a prominent Nazi official and Governor-General of occupied Poland during World War II.
  • E. Hildegard Knef
    Hildegard Knef was a renowned German actress and singer, celebrated for her postwar film roles and distinctive, smoky-voiced chanson performances.
  • 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: Meret Becker
Triple: [Comedian Harmonists (film), stars, Meret Becker]
Generated description
Meret Becker is a German actress and singer known for her versatile performances in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meret Becker
Target entity description: Meret Becker is a German actress and singer known for her versatile performances in film, television, and theater.
  • A. Ursula Paetsch
    Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
  • B. Dagmar Berghoff
    Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
  • C. Miriam Wagner
    Miriam Wagner was the wife of American television host and comedian Jack Paar.
  • D. Brigitte Herbst
    Brigitte Herbst was the wife of Hans Frank, a prominent Nazi official and Governor-General of occupied Poland during World War II.
  • E. Hildegard Knef
    Hildegard Knef was a renowned German actress and singer, celebrated for her postwar film roles and distinctive, smoky-voiced chanson performances.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a35e308190be25c41b02704411 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20db4e0ac8190ba7bca1f9d8ac6df completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c20ff2bb188190baf8a849efc15f87 completed March 24, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69c21365f8f48190970555bd9593b5a4 completed March 24, 2026, 4:30 a.m.
Created at: March 22, 2026, 4:21 p.m.