Triple
T19546487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Doucette |
E489065
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Doucette
Doucette is a French-origin surname commonly found in North America, particularly among Acadian and Cajun communities.
|
E1381326
|
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: Doucette | Statement: [John Doucette, familyName, Doucette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doucette Context triple: [John Doucette, familyName, Doucette]
-
A.
Ferminia
Ferminia is a small genus of wrens in the family Troglodytidae, best known for the critically endangered Cuban endemic species Ferminia cerverai (the Zapata wren).
-
B.
The Delaplaine
The Delaplaine is a community-focused arts center in Frederick, Maryland, offering art exhibitions, classes, and cultural programs for all ages.
-
C.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
D.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
E.
Guiteau
Guiteau is the surname of Charles J. Guiteau, the American lawyer and assassin who killed U.S. President James A. Garfield in 1881.
- 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: Doucette Triple: [John Doucette, familyName, Doucette]
Generated description
Doucette is a French-origin surname commonly found in North America, particularly among Acadian and Cajun communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doucette Target entity description: Doucette is a French-origin surname commonly found in North America, particularly among Acadian and Cajun communities.
-
A.
Ferminia
Ferminia is a small genus of wrens in the family Troglodytidae, best known for the critically endangered Cuban endemic species Ferminia cerverai (the Zapata wren).
-
B.
The Delaplaine
The Delaplaine is a community-focused arts center in Frederick, Maryland, offering art exhibitions, classes, and cultural programs for all ages.
-
C.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
D.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
E.
Guiteau
Guiteau is the surname of Charles J. Guiteau, the American lawyer and assassin who killed U.S. President James A. Garfield in 1881.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e88cacc8190815e08fd224c4804 |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a074f23337c8190bcdd4aa3d5a6daf3 |
completed | May 15, 2026, 4:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fde73f48190ad334e97fb4454c7 |
completed | May 15, 2026, 4:54 p.m. |
Created at: April 10, 2026, 1:41 p.m.