Triple
T14852546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sawyer |
E349265
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Sawyers
Sawyers is an English occupational surname derived from the trade of cutting timber, commonly used as a plural or variant form of Sawyer.
|
E1124031
|
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: Sawyers | Statement: [Sawyer, hasVariantForm, Sawyers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sawyers Context triple: [Sawyer, hasVariantForm, Sawyers]
-
A.
Sweeney
Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
-
B.
Birdwell
Birdwell is an English-language surname borne by various individuals, including fictional characters such as Jess Birdwell.
-
C.
Cowens
Cowens is the surname of Dave Cowens, a Hall of Fame American basketball player best known for his career with the Boston Celtics.
-
D.
Bivins
Bivins is a surname most notably associated with Michael Bivins, an American singer, rapper, and music executive known for his work with New Edition and Bell Biv DeVoe.
-
E.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
- 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: Sawyers Triple: [Sawyer, hasVariantForm, Sawyers]
Generated description
Sawyers is an English occupational surname derived from the trade of cutting timber, commonly used as a plural or variant form of Sawyer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sawyers Target entity description: Sawyers is an English occupational surname derived from the trade of cutting timber, commonly used as a plural or variant form of Sawyer.
-
A.
Sweeney
Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
-
B.
Birdwell
Birdwell is an English-language surname borne by various individuals, including fictional characters such as Jess Birdwell.
-
C.
Cowens
Cowens is the surname of Dave Cowens, a Hall of Fame American basketball player best known for his career with the Boston Celtics.
-
D.
Bivins
Bivins is a surname most notably associated with Michael Bivins, an American singer, rapper, and music executive known for his work with New Edition and Bell Biv DeVoe.
-
E.
Wylie
Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded441e70881909bbf62b66d932aff |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6506ace48190819504b93f575660 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66a5f3a88190827c6c9247323153 |
completed | May 8, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6736ff34819098524e4401a414aa |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 10, 2026, 1:54 a.m.