Triple

T20460686
Position Surface form Disambiguated ID Type / Status
Subject Oliver Hirschbiegel E501914 entity
Predicate familyName P18 FINISHED
Object Hirschbiegel
Hirschbiegel is a German surname most notably associated with film director Oliver Hirschbiegel, known for works such as "Downfall."
E1433741 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: Hirschbiegel | Statement: [Oliver Hirschbiegel, familyName, Hirschbiegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirschbiegel
Context triple: [Oliver Hirschbiegel, familyName, Hirschbiegel]
  • A. Hirschstein
    Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
  • B. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • C. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • D. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • E. Doberschütz
    Doberschütz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • 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: Hirschbiegel
Triple: [Oliver Hirschbiegel, familyName, Hirschbiegel]
Generated description
Hirschbiegel is a German surname most notably associated with film director Oliver Hirschbiegel, known for works such as "Downfall."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hirschbiegel
Target entity description: Hirschbiegel is a German surname most notably associated with film director Oliver Hirschbiegel, known for works such as "Downfall."
  • A. Hirschstein
    Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
  • B. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • C. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • D. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • E. Doberschütz
    Doberschütz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a549a48190a1bcd7a6b0f71a11 completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893a79f74819081dd147a1a6371da completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a08945284f48190a62a2ef25553d985 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0894f3be54819091e3305ee70c25f5 completed May 16, 2026, 4:01 p.m.
Created at: April 16, 2026, 11:33 a.m.