Triple
T5519731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyoming, Michigan |
E144774
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Kent Vanderwood
Kent Vanderwood is an American local politician who serves as the mayor of Wyoming, Michigan.
|
E531668
|
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: Kent Vanderwood | Statement: [Wyoming, Michigan, hasMayor, Kent Vanderwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent Vanderwood Context triple: [Wyoming, Michigan, hasMayor, Kent Vanderwood]
-
A.
Aaron Burckhard
Aaron Burckhard is an American drummer best known as one of the earliest drummers for the grunge band Nirvana during its formative years.
-
B.
Danny Wagner
Danny Wagner is the drummer for the American rock band Greta Van Fleet.
-
C.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
D.
Dryden Kuser
Dryden Kuser was an American financier and member of a prominent New Jersey political and social family, known in part for his brief early marriage to philanthropist Brooke Astor.
-
E.
Nick Van Owen
Nick Van Owen is a resourceful environmental activist and documentary filmmaker who joins the expedition to Isla Sorna in the film "The Lost World: Jurassic Park."
- 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: Kent Vanderwood Triple: [Wyoming, Michigan, hasMayor, Kent Vanderwood]
Generated description
Kent Vanderwood is an American local politician who serves as the mayor of Wyoming, Michigan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kent Vanderwood Target entity description: Kent Vanderwood is an American local politician who serves as the mayor of Wyoming, Michigan.
-
A.
Aaron Burckhard
Aaron Burckhard is an American drummer best known as one of the earliest drummers for the grunge band Nirvana during its formative years.
-
B.
Danny Wagner
Danny Wagner is the drummer for the American rock band Greta Van Fleet.
-
C.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
D.
Dryden Kuser
Dryden Kuser was an American financier and member of a prominent New Jersey political and social family, known in part for his brief early marriage to philanthropist Brooke Astor.
-
E.
Nick Van Owen
Nick Van Owen is a resourceful environmental activist and documentary filmmaker who joins the expedition to Isla Sorna in the film "The Lost World: Jurassic Park."
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f7082ac8190a372fa75e8dec6a4 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027e57ed88190b2ff3245226851d1 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c03c495bf88190884ab03b9e5540f0 |
completed | March 22, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03cd550748190ab9718c510d2f0ca |
completed | March 22, 2026, 7:02 p.m. |
Created at: March 22, 2026, 3:33 p.m.