Triple

T9519351
Position Surface form Disambiguated ID Type / Status
Subject Klaus Maria Brandauer E229606 entity
Predicate familyName P18 FINISHED
Object Steng
Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
 E803972 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: Steng | Statement: [Klaus Maria Brandauer, familyName, Steng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steng
Context triple: [Klaus Maria Brandauer, familyName, Steng]
  • A. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • B. Sten
    Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
  • C. Stangeland
    Stangeland is a locality within the municipality of Karmøy in Rogaland county, Norway.
  • D. Stieng
    Stieng is an Austroasiatic language spoken by the Stieng ethnic group in parts of Vietnam and Cambodia.
  • E. Stegen
    Stegen is a small village in Bavaria, Germany, situated on the shores of the Ammersee and known for its lakeside recreation and boating.
  • 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: Steng
Triple: [Klaus Maria Brandauer, familyName, Steng]
Generated description
Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steng
Target entity description: Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
  • A. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • B. Sten
    Sten is a Scandinavian male given name of Old Norse origin, commonly associated with Sweden and meaning "stone."
  • C. Stangeland
    Stangeland is a locality within the municipality of Karmøy in Rogaland county, Norway.
  • D. Stieng
    Stieng is an Austroasiatic language spoken by the Stieng ethnic group in parts of Vietnam and Cambodia.
  • E. Stegen
    Stegen is a small village in Bavaria, Germany, situated on the shores of the Ammersee and known for its lakeside recreation and boating.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a51292c8190b871509a32897251 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c0344388190aefc18936b17b9f0 completed April 4, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69d13c7b2954819096a276e083d4fed1 completed April 4, 2026, 4:29 p.m.
Created at: March 30, 2026, 7:59 p.m.