Triple
T18742029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Lessard |
E458314
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lessard
Lessard is a French-origin surname borne by various notable individuals, including musicians, athletes, and public figures.
|
E1339435
|
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: Lessard | Statement: [Stefan Lessard, familyName, Lessard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lessard Context triple: [Stefan Lessard, familyName, Lessard]
-
A.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
-
B.
Lardé
Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
-
C.
Doussard
Doussard is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting at the southern end of Lake Annecy and its outdoor recreational activities.
-
D.
Lassally
Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
-
E.
Lyerly
Lyerly is a small town located in Chattooga County in the northwestern part of the U.S. state of Georgia.
- 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: Lessard Triple: [Stefan Lessard, familyName, Lessard]
Generated description
Lessard is a French-origin surname borne by various notable individuals, including musicians, athletes, and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lessard Target entity description: Lessard is a French-origin surname borne by various notable individuals, including musicians, athletes, and public figures.
-
A.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
-
B.
Lardé
Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
-
C.
Doussard
Doussard is a French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting at the southern end of Lake Annecy and its outdoor recreational activities.
-
D.
Lassally
Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
-
E.
Lyerly
Lyerly is a small town located in Chattooga County in the northwestern part of the U.S. state of Georgia.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768fc1f8819085a2abf129ade34b |
completed | April 20, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053267cf6c8190be105bc4a00d58ef |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a05333ba5ac81908a09a93ce00ff1a9 |
completed | May 14, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0533d4783c8190a29da50953580177 |
completed | May 14, 2026, 2:30 a.m. |
Created at: April 10, 2026, 11:51 a.m.