Triple
T8365520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weinert |
E197115
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Herbert Weinert
Herbert Weinert is an individual notable enough to be recognized as a prominent bearer of the surname Weinert.
|
E765904
|
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: Herbert Weinert | Statement: [Weinert, hasNotableBearer, Herbert Weinert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herbert Weinert Context triple: [Weinert, hasNotableBearer, Herbert Weinert]
-
A.
Herbert Klein
Herbert Klein is a notable individual recognized for his contributions in his respective field, sharing the surname Klein.
-
B.
Walter Fuchs
Walter Fuchs is a notable individual who shares the surname Fuchs, recognized enough to be specifically cited among its bearers.
-
C.
Joseph Weisbecker
Joseph Weisbecker was an American engineer and computer designer best known for pioneering early hobbyist microcomputers and educational computing systems in the 1970s.
-
D.
George Weisgerber
George Weisgerber is an American reality television personality best known for appearing as a contestant on the VH1 dating show "I Love New York 2."
-
E.
Walter Naegle
Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
- 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: Herbert Weinert Triple: [Weinert, hasNotableBearer, Herbert Weinert]
Generated description
Herbert Weinert is an individual notable enough to be recognized as a prominent bearer of the surname Weinert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herbert Weinert Target entity description: Herbert Weinert is an individual notable enough to be recognized as a prominent bearer of the surname Weinert.
-
A.
Herbert Klein
Herbert Klein is a notable individual recognized for his contributions in his respective field, sharing the surname Klein.
-
B.
Walter Fuchs
Walter Fuchs is a notable individual who shares the surname Fuchs, recognized enough to be specifically cited among its bearers.
-
C.
Joseph Weisbecker
Joseph Weisbecker was an American engineer and computer designer best known for pioneering early hobbyist microcomputers and educational computing systems in the 1970s.
-
D.
George Weisgerber
George Weisgerber is an American reality television personality best known for appearing as a contestant on the VH1 dating show "I Love New York 2."
-
E.
Walter Naegle
Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
- 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_69cfb9eaebb88190b127905f58fd5c79 |
completed | April 3, 2026, 1 p.m. |
| NEDg | Description generation | batch_69cfba99abd88190bd3ec4ea1400f23d |
completed | April 3, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbb86d43c81909090169dfb2f31fb |
completed | April 3, 2026, 1:07 p.m. |
Created at: March 30, 2026, 6 p.m.