Triple
T4030315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | du Plessis |
E83692
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Duplessis
Duplessis is a surname of French origin borne by various notable individuals in politics, sports, and the arts.
|
E407991
|
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: Duplessis | Statement: [du Plessis, hasVariant, Duplessis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duplessis Context triple: [du Plessis, hasVariant, Duplessis]
-
A.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
B.
Germain Pilon
Germain Pilon was a prominent 16th-century French sculptor renowned for his expressive funerary monuments and contributions to the French Renaissance style.
-
C.
Nézet-Séguin
Nézet-Séguin is the hyphenated family name of Canadian conductor Yannick Nézet-Séguin, renowned for his leadership of major orchestras and opera companies.
-
D.
Hubert Dolbeau
Hubert Dolbeau was a mountaineer known for making the first recorded ascent of Toubkal, the highest peak in the Atlas Mountains and North Africa.
-
E.
Ambroise Dupont
Ambroise Dupont was a 19th-century French publisher known for issuing works such as Émile Zola’s novel "Thérèse Raquin."
- 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: Duplessis Triple: [du Plessis, hasVariant, Duplessis]
Generated description
Duplessis is a surname of French origin borne by various notable individuals in politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duplessis Target entity description: Duplessis is a surname of French origin borne by various notable individuals in politics, sports, and the arts.
-
A.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
B.
Germain Pilon
Germain Pilon was a prominent 16th-century French sculptor renowned for his expressive funerary monuments and contributions to the French Renaissance style.
-
C.
Nézet-Séguin
Nézet-Séguin is the hyphenated family name of Canadian conductor Yannick Nézet-Séguin, renowned for his leadership of major orchestras and opera companies.
-
D.
Hubert Dolbeau
Hubert Dolbeau was a mountaineer known for making the first recorded ascent of Toubkal, the highest peak in the Atlas Mountains and North Africa.
-
E.
Ambroise Dupont
Ambroise Dupont was a 19th-century French publisher known for issuing works such as Émile Zola’s novel "Thérèse Raquin."
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf1d8208190951a20ad7e5ab7bc |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55638390481909d8e4b7340f92a06 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b556accd488190867e1f9c77f9a8ee |
completed | March 14, 2026, 12:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5571a68d881909539e058c2fa3721 |
completed | March 14, 2026, 12:39 p.m. |
Created at: March 9, 2026, 3:36 p.m.