Triple

T11773500
Position Surface form Disambiguated ID Type / Status
Subject HB Studio E279958 entity
Predicate namedAfter P63 FINISHED
Object Herbert Berghof E1144629 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: Herbert Berghof | Statement: [HB Studio, namedAfter, Herbert Berghof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert Berghof
Context triple: [HB Studio, namedAfter, Herbert Berghof]
  • A. Herbert Berghof chosen
    Herbert Berghof was an Austrian-American actor, director, and influential acting teacher who co-founded the HB Studio in New York City.
  • B. Erich Löwenhardt
    Erich Löwenhardt was a German World War I fighter ace credited with over 50 aerial victories and recognized as one of the leading pilots of the Luftstreitkräfte.
  • C. Herbert Backe
    Herbert Backe was a high-ranking Nazi official and agricultural minister who played a central role in planning and implementing genocidal starvation policies in Eastern Europe during World War II.
  • D. Adolf Borchers
    Adolf Borchers was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • E. Benno Fürmann
    Benno Fürmann is a German actor known for his work in both domestic cinema and international productions, including roles in films like "Speed Racer" and "The Princess and the Warrior."
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035428e608190b8bb41dabda044d1 completed May 10, 2026, 7:35 a.m.
Created at: April 8, 2026, 9:41 p.m.