Triple

T780392
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Lange E16482 entity
Predicate familyName P18 FINISHED
Object Lange
Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
 E92052 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: Lange | Statement: [Rudolf Lange, familyName, Lange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lange
Context triple: [Rudolf Lange, familyName, Lange]
  • A. Langer
    Langer is a surname most notably associated with Robert Langer, a pioneering American chemical engineer and prolific inventor in biotechnology and drug delivery.
  • B. Lagting
    Lagting was one of the two former chambers of the Norwegian Parliament, historically functioning as its upper house before the legislature became unicameral.
  • C. Louw
    Louw is a surname of Afrikaans and Dutch origin borne by several notable South African figures, including writers and public personalities.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Oliphant
    Oliphant is a surname most notably associated with Australian physicist Sir Mark Oliphant, a pioneer in nuclear physics and radar technology.
  • 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: Lange
Triple: [Rudolf Lange, familyName, Lange]
Generated description
Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lange
Target entity description: Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • A. Langer
    Langer is a surname most notably associated with Robert Langer, a pioneering American chemical engineer and prolific inventor in biotechnology and drug delivery.
  • B. Lagting
    Lagting was one of the two former chambers of the Norwegian Parliament, historically functioning as its upper house before the legislature became unicameral.
  • C. Louw
    Louw is a surname of Afrikaans and Dutch origin borne by several notable South African figures, including writers and public personalities.
  • D. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • E. Oliphant
    Oliphant is a surname most notably associated with Australian physicist Sir Mark Oliphant, a pioneer in nuclear physics and radar technology.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a751ea3481908a622d5255249883 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9dd9b48190ba7fae75db01c114 completed March 3, 2026, 5:11 a.m.
NEDg Description generation batch_69a66f03f1e88190a2a7cdbe57f57bc2 completed March 3, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69a66fa5123c819085ee7cef0c7013c9 completed March 3, 2026, 5:20 a.m.
Created at: March 1, 2026, 7:37 p.m.