Triple
T3077928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Jeanneret |
E64183
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jeanneret
Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
|
E325758
|
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: Jeanneret | Statement: [Pierre Jeanneret, familyName, Jeanneret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanneret Context triple: [Pierre Jeanneret, familyName, Jeanneret]
-
A.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
B.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
C.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
-
D.
Nicolas Chapados
Nicolas Chapados is a Canadian entrepreneur and artificial intelligence researcher best known as a co-founder of the AI company Element AI.
-
E.
Jean Renaudie
Jean Renaudie was a French architect known for his radical, geometric social housing projects and influential role in postwar modernist architecture.
- 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: Jeanneret Triple: [Pierre Jeanneret, familyName, Jeanneret]
Generated description
Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeanneret Target entity description: Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
-
A.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
B.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
C.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
-
D.
Nicolas Chapados
Nicolas Chapados is a Canadian entrepreneur and artificial intelligence researcher best known as a co-founder of the AI company Element AI.
-
E.
Jean Renaudie
Jean Renaudie was a French architect known for his radical, geometric social housing projects and influential role in postwar modernist architecture.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a6f6148190ae5cd6e45eda9006 |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f88d32a08190b4e18da4b26b534c |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f8f83d10819099feb370fa9f14af |
completed | March 11, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1fd02557c81908d42bb1a10024502 |
completed | March 11, 2026, 11:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.