Triple

T10789378
Position Surface form Disambiguated ID Type / Status
Subject Johannes Popitz E254536 entity
Predicate familyName P18 FINISHED
Object Popitz
Popitz is a German surname most notably associated with Johannes Popitz, a conservative politician and finance minister in early 20th-century Germany.
 E885974 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: Popitz | Statement: [Johannes Popitz, familyName, Popitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Popitz
Context triple: [Johannes Popitz, familyName, Popitz]
  • A. Pollak
    Pollak is a surname most notably associated with American actor and comedian Kevin Pollak.
  • B. Pieck
    Pieck is a German surname most notably associated with Wilhelm Pieck, the first and only president of the German Democratic Republic (East Germany).
  • C. Potocki
    Potocki is a Polish noble surname historically associated with one of the most prominent aristocratic families of the Polish–Lithuanian Commonwealth.
  • D. Pankiewicz
    Pankiewicz is a Polish surname most notably associated with Tadeusz Pankiewicz, the pharmacist who ran the “Under the Eagle” pharmacy in the Kraków Ghetto during World War II.
  • E. Piekar
    Piekar is a surname or variant form derived from the occupational term "baker," commonly found in Central or Eastern European languages.
  • 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: Popitz
Triple: [Johannes Popitz, familyName, Popitz]
Generated description
Popitz is a German surname most notably associated with Johannes Popitz, a conservative politician and finance minister in early 20th-century Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Popitz
Target entity description: Popitz is a German surname most notably associated with Johannes Popitz, a conservative politician and finance minister in early 20th-century Germany.
  • A. Pollak
    Pollak is a surname most notably associated with American actor and comedian Kevin Pollak.
  • B. Pieck
    Pieck is a German surname most notably associated with Wilhelm Pieck, the first and only president of the German Democratic Republic (East Germany).
  • C. Potocki
    Potocki is a Polish noble surname historically associated with one of the most prominent aristocratic families of the Polish–Lithuanian Commonwealth.
  • D. Pankiewicz
    Pankiewicz is a Polish surname most notably associated with Tadeusz Pankiewicz, the pharmacist who ran the “Under the Eagle” pharmacy in the Kraków Ghetto during World War II.
  • E. Piekar
    Piekar is a surname or variant form derived from the occupational term "baker," commonly found in Central or Eastern European languages.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f4b1388190a1364e56a90e8388 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de562873b081908bea08c56b1c1e3f completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eadb9448190bdf69711394e2ab7 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de607917808190922df6521d7bfb07 completed April 14, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:17 p.m.