Triple

T9730978
Position Surface form Disambiguated ID Type / Status
Subject William Prager E235739 entity
Predicate hasFamilyName P18 FINISHED
Object Prager
Prager is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across academia, politics, and media.
 E817122 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: Prager | Statement: [William Prager, hasFamilyName, Prager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prager
Context triple: [William Prager, hasFamilyName, Prager]
  • A. Augspurger
    Augspurger is a family surname associated with individuals such as Otelia Augspurger Compton.
  • B. Schwartzberg
    Schwartzberg is the birth surname of American film director Richard Donner, who was born Richard Donald Schwartzberg.
  • C. Pravdinsk
    Pravdinsk is a small town in Russia’s Kaliningrad Oblast, historically known as Friedland and noted as the site of a major 1807 Napoleonic battle.
  • D. Pohl
    Pohl is a German surname borne by various notable individuals in fields such as literature, science, and politics.
  • E. Priesand
    Priesand is the surname of Sally Priesand, the first woman ordained as a rabbi in the United States.
  • 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: Prager
Triple: [William Prager, hasFamilyName, Prager]
Generated description
Prager is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across academia, politics, and media.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prager
Target entity description: Prager is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across academia, politics, and media.
  • A. Augspurger
    Augspurger is a family surname associated with individuals such as Otelia Augspurger Compton.
  • B. Schwartzberg
    Schwartzberg is the birth surname of American film director Richard Donner, who was born Richard Donald Schwartzberg.
  • C. Pravdinsk
    Pravdinsk is a small town in Russia’s Kaliningrad Oblast, historically known as Friedland and noted as the site of a major 1807 Napoleonic battle.
  • D. Pohl
    Pohl is a German surname borne by various notable individuals in fields such as literature, science, and politics.
  • E. Priesand
    Priesand is the surname of Sally Priesand, the first woman ordained as a rabbi in the United States.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb2373c81909139c7a2ff2aa541 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb97b6c81908d5f1d4f587a9188 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a16fa29c8190be50ddaa566fcd7f completed April 4, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69d1a335f2808190aca0c1689787b90a completed April 4, 2026, 11:48 p.m.
Created at: March 30, 2026, 8:21 p.m.