Triple

T9751629
Position Surface form Disambiguated ID Type / Status
Subject Deutschland 86 E236454 entity
Predicate stars P1956 FINISHED
Object Sylvester Groth E43994 NE FINISHED

How this triple was built (2 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: Sylvester Groth | Statement: [Deutschland 86, stars, Sylvester Groth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvester Groth
Context triple: [Deutschland 86, stars, Sylvester Groth]
  • A. Sylvester Groth chosen
    Sylvester Groth is a German actor known for his work in film, television, and theater, including roles in historical dramas and international productions.
  • B. Steffen Groth
    Steffen Groth is a German actor and director known for his roles in television series and films.
  • C. Carl Skottsberg
    Carl Skottsberg was a Swedish botanist and explorer renowned for his pioneering research on subantarctic and Antarctic flora.
  • D. Karl Tunberg
    Karl Tunberg was an American screenwriter best known for writing the screenplay of the epic 1959 film "Ben-Hur."
  • E. Kevin Rudolf
    Kevin Rudolf is an American singer-songwriter, guitarist, and record producer best known for his hit single "Let It Rock" and his work with artists on the Cash Money Records label.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcd60e1c81908ea2e38ca91e58f6 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:24 p.m.