Triple

T9546102
Position Surface form Disambiguated ID Type / Status
Subject George Weisz E230290 entity
Predicate familyName P18 FINISHED
Object Weisz
Weisz is a surname of Central or Eastern European origin borne by various notable individuals in fields such as science, the arts, and entertainment.
 E805236 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: Weisz | Statement: [George Weisz, familyName, Weisz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weisz
Context triple: [George Weisz, familyName, Weisz]
  • A. Weitz
    Weitz is a surname most prominently associated with American filmmakers Chris and Paul Weitz, known for movies such as "American Pie" and "About a Boy."
  • B. Kloves
    Kloves is the surname of American screenwriter and film director Steve Kloves, best known for adapting most of the Harry Potter novels for the screen.
  • C. Jay Weiss
    Jay Weiss is a New York real estate developer best known as the former husband of actress Kathleen Turner.
  • D. Weinstein
    Weinstein is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as film, academia, and politics.
  • E. John Weiss
    John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
  • 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: Weisz
Triple: [George Weisz, familyName, Weisz]
Generated description
Weisz is a surname of Central or Eastern European origin borne by various notable individuals in fields such as science, the arts, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weisz
Target entity description: Weisz is a surname of Central or Eastern European origin borne by various notable individuals in fields such as science, the arts, and entertainment.
  • A. Weitz
    Weitz is a surname most prominently associated with American filmmakers Chris and Paul Weitz, known for movies such as "American Pie" and "About a Boy."
  • B. Kloves
    Kloves is the surname of American screenwriter and film director Steve Kloves, best known for adapting most of the Harry Potter novels for the screen.
  • C. Jay Weiss
    Jay Weiss is a New York real estate developer best known as the former husband of actress Kathleen Turner.
  • D. Weinstein
    Weinstein is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as film, academia, and politics.
  • E. John Weiss
    John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9902fca081909125660ae6336d3f completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c747e608190b2fa470324fff454 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14cfcfc6c8190a39f4db25ffa160e completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14d5dad98819089c49afd3d097c1f completed April 4, 2026, 5:41 p.m.
Created at: March 30, 2026, 8:02 p.m.