Triple

T4854079
Position Surface form Disambiguated ID Type / Status
Subject Franz Walter Stahlecker E108491 entity
Predicate familyName P18 FINISHED
Object Stahlecker
Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
 E475305 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: Stahlecker | Statement: [Franz Walter Stahlecker, familyName, Stahlecker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stahlecker
Context triple: [Franz Walter Stahlecker, familyName, Stahlecker]
  • A. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Heissler
    Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
  • E. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, 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: Stahlecker
Triple: [Franz Walter Stahlecker, familyName, Stahlecker]
Generated description
Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stahlecker
Target entity description: Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
  • A. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Heissler
    Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
  • E. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3b00fc81909bdb95eb9648c907 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ce33db08190b44b5b0c21d2b850 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5f6142648190bec124c9c3933cc3 completed March 21, 2026, 9:05 a.m.
NED2 Entity disambiguation (via description) batch_69be5ffeaff481908e2e80ddc82ac6f6 completed March 21, 2026, 9:08 a.m.
Created at: March 20, 2026, 1:26 p.m.