Triple

T7914661
Position Surface form Disambiguated ID Type / Status
Subject Edwin E. Witte E183788 entity
Predicate familyName P18 FINISHED
Object Witte
Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
 E696855 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: Witte | Statement: [Edwin E. Witte, familyName, Witte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Witte
Context triple: [Edwin E. Witte, familyName, Witte]
  • A. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • B. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • C. Holzweißig
    Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
  • D. Swart
    Swart is a surname of Afrikaans and Dutch origin, notably borne by Charles Robberts Swart, the first State President of South Africa.
  • E. Blaauw
    Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
  • 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: Witte
Triple: [Edwin E. Witte, familyName, Witte]
Generated description
Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Witte
Target entity description: Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
  • A. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • B. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • C. Holzweißig
    Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
  • D. Swart
    Swart is a surname of Afrikaans and Dutch origin, notably borne by Charles Robberts Swart, the first State President of South Africa.
  • E. Blaauw
    Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5be54fdc81909a988114a6f30a13 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:04 p.m.