Triple

T10344898
Position Surface form Disambiguated ID Type / Status
Subject George Engelmann E243719 entity
Predicate familyName P18 FINISHED
Object Engelmann
Engelmann is a German-language surname borne by various notable individuals in fields such as science, arts, and academia.
 E857269 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: Engelmann | Statement: [George Engelmann, familyName, Engelmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Engelmann
Context triple: [George Engelmann, familyName, Engelmann]
  • A. Kranz
    Kranz is a German surname most notably associated with Gene Kranz, the NASA flight director famed for his leadership during the Apollo missions.
  • B. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • C. Strassmann
    Strassmann is a German surname most notably associated with Fritz Strassmann, the chemist who co-discovered nuclear fission.
  • D. Köhler
    Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
  • E. Schoen
    Schoen is a German-origin surname borne by various notable individuals in fields such as mathematics, science, and the arts.
  • 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: Engelmann
Triple: [George Engelmann, familyName, Engelmann]
Generated description
Engelmann is a German-language surname borne by various notable individuals in fields such as science, arts, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Engelmann
Target entity description: Engelmann is a German-language surname borne by various notable individuals in fields such as science, arts, and academia.
  • A. Kranz
    Kranz is a German surname most notably associated with Gene Kranz, the NASA flight director famed for his leadership during the Apollo missions.
  • B. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • C. Strassmann
    Strassmann is a German surname most notably associated with Fritz Strassmann, the chemist who co-discovered nuclear fission.
  • D. Köhler
    Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
  • E. Schoen
    Schoen is a German-origin surname borne by various notable individuals in fields such as mathematics, science, and the arts.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9228cd88190bcd94b85537233c1 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7507f708c8190b8cf684704a6e47d completed April 9, 2026, 7:08 a.m.
NEDg Description generation batch_69d751ab890c8190b1549619049dab91 completed April 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69d7619e97588190a1443f9438c6efc0 completed April 9, 2026, 8:21 a.m.
Created at: April 6, 2026, 11:56 a.m.