Triple
T8051128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sturgeon |
E187674
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Walter Sturgeon
Walter Sturgeon was an American mycologist and mushroom expert known for his field guides and contributions to the study of North American fungi.
|
E709270
|
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: Walter Sturgeon | Statement: [Sturgeon, hasNotableBearer, Walter Sturgeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Sturgeon Context triple: [Sturgeon, hasNotableBearer, Walter Sturgeon]
-
A.
Alfred Morton Githens
Alfred Morton Githens was an American architect known for his influential designs of major public libraries and cultural institutions in the early 20th century.
-
B.
Walter Watt
Walter Watt is an American local government official serving as the mayor of Muskegon Heights, Michigan.
-
C.
Robert Sturgeon
Robert Sturgeon is a relatively obscure individual whose name is notably associated with the surname Sturgeon.
-
D.
William Dewhurst
William Dewhurst was an actor known for his role in the early 20th-century film "Sabotage."
-
E.
Victor A. Crutchley
Victor A. Crutchley was a British Royal Navy admiral and Victoria Cross recipient who served with distinction in both World Wars.
- 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: Walter Sturgeon Triple: [Sturgeon, hasNotableBearer, Walter Sturgeon]
Generated description
Walter Sturgeon was an American mycologist and mushroom expert known for his field guides and contributions to the study of North American fungi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walter Sturgeon Target entity description: Walter Sturgeon was an American mycologist and mushroom expert known for his field guides and contributions to the study of North American fungi.
-
A.
Alfred Morton Githens
Alfred Morton Githens was an American architect known for his influential designs of major public libraries and cultural institutions in the early 20th century.
-
B.
Walter Watt
Walter Watt is an American local government official serving as the mayor of Muskegon Heights, Michigan.
-
C.
Robert Sturgeon
Robert Sturgeon is a relatively obscure individual whose name is notably associated with the surname Sturgeon.
-
D.
William Dewhurst
William Dewhurst was an actor known for his role in the early 20th-century film "Sabotage."
-
E.
Victor A. Crutchley
Victor A. Crutchley was a British Royal Navy admiral and Victoria Cross recipient who served with distinction in both World Wars.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f799d1481909c91039941af0e34 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63d2d5008190b768e7a8b910e460 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651b4be08190ad76c70b1d617c1a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc664700dc819097d149931cf49673 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:24 p.m.