Triple
T9647682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Wendt |
E233247
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wendt
Wendt is a surname most notably associated with the German-born American landscape painter William Wendt, a key figure in early California Impressionism.
|
E811726
|
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: Wendt | Statement: [William Wendt, familyName, Wendt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendt Context triple: [William Wendt, familyName, Wendt]
-
A.
Wendel
Wendel is a small unincorporated community located in rural northeastern California.
-
B.
Wesselmann
Wesselmann is a surname most notably associated with Tom Wesselmann, a prominent American Pop Art painter known for his bold, stylized depictions of the nude and everyday consumer objects.
-
C.
Wirth
Wirth is a Swiss surname most notably associated with computer scientist Niklaus Wirth, the designer of several influential programming languages.
-
D.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
-
E.
Trost
Trost is a surname most notably associated with Barry M. Trost, an influential American chemist known for his work in organic synthesis and the concept of atom economy.
- 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: Wendt Triple: [William Wendt, familyName, Wendt]
Generated description
Wendt is a surname most notably associated with the German-born American landscape painter William Wendt, a key figure in early California Impressionism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wendt Target entity description: Wendt is a surname most notably associated with the German-born American landscape painter William Wendt, a key figure in early California Impressionism.
-
A.
Wendel
Wendel is a small unincorporated community located in rural northeastern California.
-
B.
Wesselmann
Wesselmann is a surname most notably associated with Tom Wesselmann, a prominent American Pop Art painter known for his bold, stylized depictions of the nude and everyday consumer objects.
-
C.
Wirth
Wirth is a Swiss surname most notably associated with computer scientist Niklaus Wirth, the designer of several influential programming languages.
-
D.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
-
E.
Trost
Trost is a surname most notably associated with Barry M. Trost, an influential American chemist known for his work in organic synthesis and the concept of atom economy.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b826ff08190a972bdef84405f08 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1825dc8e08190bfc3475cd2e694ba |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d1837ec5548190a06458227fec2237 |
completed | April 4, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d183ea286c8190979d1429729f8abd |
completed | April 4, 2026, 9:34 p.m. |
Created at: March 30, 2026, 8:13 p.m.