Triple

T17787069
Position Surface form Disambiguated ID Type / Status
Subject Otto Steinbrinck E444044 entity
Predicate familyName P18 FINISHED
Object Steinbrinck
Steinbrinck is a German surname most notably associated with Otto Steinbrinck, a high-ranking SS officer and industrialist during the Nazi era.
E1288108 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: Steinbrinck | Statement: [Otto Steinbrinck, familyName, Steinbrinck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steinbrinck
Context triple: [Otto Steinbrinck, familyName, Steinbrinck]
  • A. Stahlecker
    Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
  • B. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • C. Steinert
    Steinert is the commonly used name for Hamilton High School East, a public high school in Hamilton Township, New Jersey.
  • D. Brückner
    Brückner is a German surname borne by various notable individuals in fields such as politics, the arts, and academia.
  • E. Schmarbeck
    Schmarbeck is a small village in Lower Saxony, Germany, that forms part of the collective municipality of Faßberg.
  • 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: Steinbrinck
Triple: [Otto Steinbrinck, familyName, Steinbrinck]
Generated description
Steinbrinck is a German surname most notably associated with Otto Steinbrinck, a high-ranking SS officer and industrialist during the Nazi era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steinbrinck
Target entity description: Steinbrinck is a German surname most notably associated with Otto Steinbrinck, a high-ranking SS officer and industrialist during the Nazi era.
  • A. Stahlecker
    Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
  • B. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • C. Steinert
    Steinert is the commonly used name for Hamilton High School East, a public high school in Hamilton Township, New Jersey.
  • D. Brückner
    Brückner is a German surname borne by various notable individuals in fields such as politics, the arts, and academia.
  • E. Schmarbeck
    Schmarbeck is a small village in Lower Saxony, Germany, that forms part of the collective municipality of Faßberg.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487938418819096016ad717b014e6 completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f835db9481909d314c17a7c59952 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f89a1cf88190bdd2b80c14e6134a completed May 12, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a02f96e4c5c8190a42f2f11574df421 completed May 12, 2026, 9:57 a.m.
Created at: April 10, 2026, 10:12 a.m.