Triple

T5724803
Position Surface form Disambiguated ID Type / Status
Subject Frederik Johannes Willem Reitz E126238 entity
Predicate familyName P18 FINISHED
Object Reitz
Reitz is a surname of Germanic origin borne by various notable individuals, including politicians, academics, and artists.
 E540422 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: Reitz | Statement: [Frederik Johannes Willem Reitz, familyName, Reitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reitz
Context triple: [Frederik Johannes Willem Reitz, familyName, Reitz]
  • A. Arntz
    Arntz is a German surname most notably associated with Gerd Arntz, a 20th-century graphic designer and artist known for his influential pictogram and isotype work.
  • B. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • C. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • D. Richter
    Richter is a common German surname borne by numerous notable individuals, including artists, scientists, and public figures.
  • E. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th 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: Reitz
Triple: [Frederik Johannes Willem Reitz, familyName, Reitz]
Generated description
Reitz is a surname of Germanic origin borne by various notable individuals, including politicians, academics, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reitz
Target entity description: Reitz is a surname of Germanic origin borne by various notable individuals, including politicians, academics, and artists.
  • A. Arntz
    Arntz is a German surname most notably associated with Gerd Arntz, a 20th-century graphic designer and artist known for his influential pictogram and isotype work.
  • B. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • C. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • D. Richter
    Richter is a common German surname borne by numerous notable individuals, including artists, scientists, and public figures.
  • E. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025085f508190adf5d540bc8a5b1c completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a83c88c819097abe565ba010a29 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05b7c3bd48190ad8303bf1bb3ec6a completed March 22, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69c05c22c31081909a9a67d99e7c728c completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:47 p.m.