Triple
T14048260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renault FT |
E338016
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Rodrigue Schneiter
Rodrigue Schneiter was a French engineer known for helping design the pioneering Renault FT light tank used in World War I.
|
E1076206
|
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: Rodrigue Schneiter | Statement: [Renault FT, designer, Rodrigue Schneiter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodrigue Schneiter Context triple: [Renault FT, designer, Rodrigue Schneiter]
-
A.
Alain Chuard
Alain Chuard is a Swiss entrepreneur and former professional snowboarder best known as the founder of the social media marketing company Wildfire Interactive, which was acquired by Google.
-
B.
Florian Bucher
Florian Bucher is an educator and founder known for establishing the innovative educational institution 42, a tuition-free, peer-to-peer coding school.
-
C.
Ueli Suter
Ueli Suter is a Swiss computer scientist known for his contributions to computer architecture and his leadership roles in academia.
-
D.
Reto Wüthrich
Reto Wüthrich is a notable individual who carries the Swiss surname Wüthrich.
-
E.
Mathis Lussy
Mathis Lussy was a 19th-century Swiss music theorist and pedagogue known for his influential writings on musical expression and performance.
- 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: Rodrigue Schneiter Triple: [Renault FT, designer, Rodrigue Schneiter]
Generated description
Rodrigue Schneiter was a French engineer known for helping design the pioneering Renault FT light tank used in World War I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rodrigue Schneiter Target entity description: Rodrigue Schneiter was a French engineer known for helping design the pioneering Renault FT light tank used in World War I.
-
A.
Alain Chuard
Alain Chuard is a Swiss entrepreneur and former professional snowboarder best known as the founder of the social media marketing company Wildfire Interactive, which was acquired by Google.
-
B.
Florian Bucher
Florian Bucher is an educator and founder known for establishing the innovative educational institution 42, a tuition-free, peer-to-peer coding school.
-
C.
Ueli Suter
Ueli Suter is a Swiss computer scientist known for his contributions to computer architecture and his leadership roles in academia.
-
D.
Reto Wüthrich
Reto Wüthrich is a notable individual who carries the Swiss surname Wüthrich.
-
E.
Mathis Lussy
Mathis Lussy was a 19th-century Swiss music theorist and pedagogue known for his influential writings on musical expression and performance.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c88b5e48190b0f0149102c08992 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34332448190b044f55f0f85d5e2 |
completed | May 6, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_69fc43623d608190bee3ebd08ffa01e6 |
completed | May 7, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc43e71f708190903a63388b664ba5 |
completed | May 7, 2026, 7:48 a.m. |
Created at: April 9, 2026, 10:20 p.m.