Triple

T2781197
Position Surface form Disambiguated ID Type / Status
Subject Bangert, Jansen, Scholz, Schultes E61697 entity
Predicate hasMember P10 FINISHED
Object Bangert
Bangert is a surname of German origin associated with several individuals, including those named Jansen, Scholz, and Schultes.
 E297611 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: Bangert | Statement: [Bangert, Jansen, Scholz, Schultes, hasMember, Bangert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bangert
Context triple: [Bangert, Jansen, Scholz, Schultes, hasMember, Bangert]
  • A. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • B. Bittrich
    Bittrich is a German surname most notably borne by Wilhelm Bittrich, a high-ranking Waffen-SS commander during World War II.
  • C. Die Bertinis
    Die Bertinis is a German television miniseries based on Ralph Giordano’s semi-autobiographical novel about a Jewish-Italian family in Hamburg during the Nazi era.
  • D. Boldt
    Boldt is a family surname that forms part of the combined name "Affleck-Boldt."
  • E. Barmedman
    Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
  • 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: Bangert
Triple: [Bangert, Jansen, Scholz, Schultes, hasMember, Bangert]
Generated description
Bangert is a surname of German origin associated with several individuals, including those named Jansen, Scholz, and Schultes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bangert
Target entity description: Bangert is a surname of German origin associated with several individuals, including those named Jansen, Scholz, and Schultes.
  • A. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • B. Bittrich
    Bittrich is a German surname most notably borne by Wilhelm Bittrich, a high-ranking Waffen-SS commander during World War II.
  • C. Die Bertinis
    Die Bertinis is a German television miniseries based on Ralph Giordano’s semi-autobiographical novel about a Jewish-Italian family in Hamburg during the Nazi era.
  • D. Boldt
    Boldt is a family surname that forms part of the combined name "Affleck-Boldt."
  • E. Barmedman
    Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd997ebc8190bff88fe549827615 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05f4e7881908bf5b6f7df331041 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc1d3bec0819087bb787b7f570ddc completed March 10, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69afc229caf88190a26959c27e6a1a9e completed March 10, 2026, 7:03 a.m.
Created at: March 6, 2026, 9:57 p.m.