Triple

T8937049
Position Surface form Disambiguated ID Type / Status
Subject George Seifert E212802 entity
Predicate familyName P18 FINISHED
Object Seifert
Seifert is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
 E767601 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: Seifert | Statement: [George Seifert, familyName, Seifert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seifert
Context triple: [George Seifert, familyName, Seifert]
  • A. Orlik
    Orlik is the Polish Air Force designation for the PZL-130 Orlik, a domestically produced turboprop trainer aircraft used for pilot training and aerobatic display.
  • B. Hopf
    Hopf is a German surname most notably associated with mathematician Heinz Hopf, known for his foundational work in topology and geometry.
  • C. Milnor
    Milnor is the surname of John Milnor, a prominent American mathematician known for his influential work in differential topology, K-theory, and dynamical systems.
  • D. Beltrami
    Beltrami is an Italian surname borne by various notable individuals across fields such as music, mathematics, and the arts.
  • E. Menger
    Menger is a surname most notably associated with Austrian mathematician Karl Menger, known for his work in topology, dimension theory, and the foundations of geometry.
  • 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: Seifert
Triple: [George Seifert, familyName, Seifert]
Generated description
Seifert is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seifert
Target entity description: Seifert is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
  • A. Orlik
    Orlik is the Polish Air Force designation for the PZL-130 Orlik, a domestically produced turboprop trainer aircraft used for pilot training and aerobatic display.
  • B. Hopf
    Hopf is a German surname most notably associated with mathematician Heinz Hopf, known for his foundational work in topology and geometry.
  • C. Milnor
    Milnor is the surname of John Milnor, a prominent American mathematician known for his influential work in differential topology, K-theory, and dynamical systems.
  • D. Beltrami
    Beltrami is an Italian surname borne by various notable individuals across fields such as music, mathematics, and the arts.
  • E. Menger
    Menger is a surname most notably associated with Austrian mathematician Karl Menger, known for his work in topology, dimension theory, and the foundations of geometry.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b3628881909544507628980c25 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1e692548190b631c4926927d12f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc2b23be0819089503ca761f3f0b4 completed April 3, 2026, 1:37 p.m.
NED2 Entity disambiguation (via description) batch_69cfc3731fbc8190bd3efc9a9786d078 completed April 3, 2026, 1:41 p.m.
Created at: March 30, 2026, 6:58 p.m.