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.