Triple

T822235
Position Surface form Disambiguated ID Type / Status
Subject Hans Kehrl E17774 entity
Predicate familyName P18 FINISHED
Object Kehrl
Kehrl is a German surname most notably associated with Hans Kehrl, a Nazi-era economist and industrial official.
 E98229 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: Kehrl | Statement: [Hans Kehrl, familyName, Kehrl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kehrl
Context triple: [Hans Kehrl, familyName, Kehrl]
  • A. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • B. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • C. Kocher
    Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
  • D. Klain
    Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
  • E. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • 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: Kehrl
Triple: [Hans Kehrl, familyName, Kehrl]
Generated description
Kehrl is a German surname most notably associated with Hans Kehrl, a Nazi-era economist and industrial official.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kehrl
Target entity description: Kehrl is a German surname most notably associated with Hans Kehrl, a Nazi-era economist and industrial official.
  • A. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • B. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • C. Kocher
    Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
  • D. Klain
    Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
  • E. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab7c139c8190b6d75661b5138d89 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d91c2948190bc13a223548facba completed March 3, 2026, 11:24 p.m.
NEDg Description generation batch_69a77e828bb08190a67768d08557f305 completed March 4, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69a77efbc2ac819083a900d2ecd8924e completed March 4, 2026, 12:38 a.m.
Created at: March 1, 2026, 7:38 p.m.