Triple

T3250442
Position Surface form Disambiguated ID Type / Status
Subject Weiss E68163 entity
Predicate hasNotableBearer P458 FINISHED
Object Charles Weiss
Charles Weiss is a relatively obscure individual whose specific public significance is not clearly established from the available information.
E350739 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: Charles Weiss | Statement: [Weiss, hasNotableBearer, Charles Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Weiss
Context triple: [Weiss, hasNotableBearer, Charles Weiss]
  • A. Charles Weissmann
    Charles Weissmann is a Swiss molecular biologist and biotechnology pioneer known for his groundbreaking work on interferons and prion diseases and for co-founding the biotech company Biogen.
  • B. Dashiell Weinstein
    Dashiell Weinstein is one of the children of disgraced film producer Harvey Weinstein.
  • C. Charles Rackoff
    Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
  • D. Charles Klein
    Charles Klein was a prominent early 20th-century American playwright best known for his successful Broadway dramas and melodramas.
  • E. Andrew Weiss
    Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
  • 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: Charles Weiss
Triple: [Weiss, hasNotableBearer, Charles Weiss]
Generated description
Charles Weiss is a relatively obscure individual whose specific public significance is not clearly established from the available information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charles Weiss
Target entity description: Charles Weiss is a relatively obscure individual whose specific public significance is not clearly established from the available information.
  • A. Charles Weissmann
    Charles Weissmann is a Swiss molecular biologist and biotechnology pioneer known for his groundbreaking work on interferons and prion diseases and for co-founding the biotech company Biogen.
  • B. Dashiell Weinstein
    Dashiell Weinstein is one of the children of disgraced film producer Harvey Weinstein.
  • C. Charles Rackoff
    Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
  • D. Charles Klein
    Charles Klein was a prominent early 20th-century American playwright best known for his successful Broadway dramas and melodramas.
  • E. Andrew Weiss
    Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
  • 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_69b324f1baec8190b076b65fd7e4be2a completed March 12, 2026, 8:41 p.m.
NEDg Description generation batch_69b326620f048190b429ff62d037516c completed March 12, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69b326fadb388190981f38a083805ee5 completed March 12, 2026, 8:50 p.m.
Created at: March 8, 2026, 3:09 p.m.