Triple
T11578470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogon languages |
E274563
|
entity |
| Predicate | researchedBy |
P1945
|
FINISHED |
| Object |
Denis Douyon
Denis Douyon is a researcher known for his scholarly work on the Dogon languages of Mali.
|
E941365
|
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: Denis Douyon | Statement: [Dogon languages, researchedBy, Denis Douyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denis Douyon Context triple: [Dogon languages, researchedBy, Denis Douyon]
-
A.
Laurent Jouvenet
Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
-
B.
Yann Danis
Yann Danis is a Canadian former professional ice hockey goaltender who played in the NHL for teams including the Montreal Canadiens, New York Islanders, and New Jersey Devils.
-
C.
Michel Gill
Michel Gill is an American actor best known for his roles in television series such as "House of Cards" and "The Dropout."
-
D.
Nicolas Dufourcq
Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
-
E.
Michel Robin
Michel Robin was a French character actor known for his extensive work in film, television, and theater, often appearing in historical and dramatic roles.
- 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: Denis Douyon Triple: [Dogon languages, researchedBy, Denis Douyon]
Generated description
Denis Douyon is a researcher known for his scholarly work on the Dogon languages of Mali.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denis Douyon Target entity description: Denis Douyon is a researcher known for his scholarly work on the Dogon languages of Mali.
-
A.
Laurent Jouvenet
Laurent Jouvenet was a French painter of the 17th century, known as the father of the more famous Baroque artist Jean Jouvenet.
-
B.
Yann Danis
Yann Danis is a Canadian former professional ice hockey goaltender who played in the NHL for teams including the Montreal Canadiens, New York Islanders, and New Jersey Devils.
-
C.
Michel Gill
Michel Gill is an American actor best known for his roles in television series such as "House of Cards" and "The Dropout."
-
D.
Nicolas Dufourcq
Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
-
E.
Michel Robin
Michel Robin was a French character actor known for his extensive work in film, television, and theater, often appearing in historical and dramatic roles.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8269c4f48190aaf238a64c5caf1d |
completed | April 27, 2026, 3:36 p.m. |
| NEDg | Description generation | batch_69ef96ab29d48190b225504856007384 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd64bfa7081909715aa64d80fadf3 |
completed | April 27, 2026, 9:34 p.m. |
Created at: April 8, 2026, 9:38 p.m.