Triple

T8365503
Position Surface form Disambiguated ID Type / Status
Subject Weinert E197115 entity
Predicate hasNotableBearer P458 FINISHED
Object Paul Weinert
Paul Weinert was a United States Army soldier and Medal of Honor recipient recognized for his bravery during the Indian Wars.
 E746597 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: Paul Weinert | Statement: [Weinert, hasNotableBearer, Paul Weinert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Weinert
Context triple: [Weinert, hasNotableBearer, Paul Weinert]
  • A. Paul Zimmerer
    Paul Zimmerer was an American entrepreneur best known as the founder of Lindsay Corporation, a major manufacturer of agricultural irrigation and infrastructure equipment.
  • B. Paul Biegler
    Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
  • C. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • D. Paul Weber
    Paul Weber is a relatively common personal name shared by multiple individuals across various professions, such as arts, sports, and academia.
  • E. Paul Madvig
    Paul Madvig is the politically connected fixer and central protagonist of the 1942 film noir "The Glass Key," navigating corruption, loyalty, and murder in a tense urban underworld.
  • 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: Paul Weinert
Triple: [Weinert, hasNotableBearer, Paul Weinert]
Generated description
Paul Weinert was a United States Army soldier and Medal of Honor recipient recognized for his bravery during the Indian Wars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Weinert
Target entity description: Paul Weinert was a United States Army soldier and Medal of Honor recipient recognized for his bravery during the Indian Wars.
  • A. Paul Zimmerer
    Paul Zimmerer was an American entrepreneur best known as the founder of Lindsay Corporation, a major manufacturer of agricultural irrigation and infrastructure equipment.
  • B. Paul Biegler
    Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
  • C. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • D. Paul Weber
    Paul Weber is a relatively common personal name shared by multiple individuals across various professions, such as arts, sports, and academia.
  • E. Paul Madvig
    Paul Madvig is the politically connected fixer and central protagonist of the 1942 film noir "The Glass Key," navigating corruption, loyalty, and murder in a tense urban underworld.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808bc22481909ce2f8b48cc95806 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cebb37161081908452cc449b4e903e completed April 2, 2026, 6:53 p.m.
NEDg Description generation batch_69cebda8e7f4819083b6885f874554f1 completed April 2, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69cebe5df4888190bf741e332af3e21e completed April 2, 2026, 7:07 p.m.
Created at: March 30, 2026, 6 p.m.