Triple

T3250466
Position Surface form Disambiguated ID Type / Status
Subject Weiss E68163 entity
Predicate hasNotableBearer P458 FINISHED
Object Louis Weiss
Louis Weiss was a prominent French lawyer, journalist, and feminist activist known for her advocacy for women's rights and European unity in the early to mid-20th century.
 E445961 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: Louis Weiss | Statement: [Weiss, hasNotableBearer, Louis Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Louis Weiss
Context triple: [Weiss, hasNotableBearer, Louis Weiss]
  • A. Leonard Weiss
    Leonard Weiss is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Weiss.
  • B. Louis Bakanowsky
    Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
  • C. Louis Bernstein
    Louis Bernstein is the birth name of Leonard Bernstein, the renowned American composer, conductor, and pianist.
  • D. Louis Levy
    Louis Levy was a prominent British film music director and composer known for his influential work on early 20th-century cinema scores.
  • E. Irving Brecher
    Irving Brecher was an American screenwriter best known for his work on Marx Brothers comedies and classic Hollywood films of the 1930s and 1940s.
  • 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: Louis Weiss
Triple: [Weiss, hasNotableBearer, Louis Weiss]
Generated description
Louis Weiss was a prominent French lawyer, journalist, and feminist activist known for her advocacy for women's rights and European unity in the early to mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Louis Weiss
Target entity description: Louis Weiss was a prominent French lawyer, journalist, and feminist activist known for her advocacy for women's rights and European unity in the early to mid-20th century.
  • A. Leonard Weiss
    Leonard Weiss is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Weiss.
  • B. Louis Bakanowsky
    Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
  • C. Louis Bernstein
    Louis Bernstein is the birth name of Leonard Bernstein, the renowned American composer, conductor, and pianist.
  • D. Louis Levy
    Louis Levy was a prominent British film music director and composer known for his influential work on early 20th-century cinema scores.
  • E. Irving Brecher
    Irving Brecher was an American screenwriter best known for his work on Marx Brothers comedies and classic Hollywood films of the 1930s and 1940s.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf40f7908190a450c3136fccb020 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd567a48b881908e4bfec70943eb60 completed March 20, 2026, 2:15 p.m.
NEDg Description generation batch_69bd5799d63481908795f22dad3ffc2a completed March 20, 2026, 2:20 p.m.
NED2 Entity disambiguation (via description) batch_69bd580f65108190b9417fd25609b57c completed March 20, 2026, 2:22 p.m.
Created at: March 8, 2026, 3:09 p.m.