Triple
T3768209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Auto |
E82730
|
entity |
| Predicate | associatedPerson |
P2308
|
FINISHED |
| Object | Géo Lefèvre |
E387636
|
NE FINISHED |
How this triple was built (2 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: Géo Lefèvre | Statement: [L’Auto, associatedPerson, Géo Lefèvre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Géo Lefèvre Context triple: [L’Auto, associatedPerson, Géo Lefèvre]
-
A.
Géo Lefèvre
chosen
Géo Lefèvre was a French sports journalist best known for conceiving the idea of the Tour de France while working for the newspaper L’Auto.
-
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.
Adolphe-Basile Routhier
Adolphe-Basile Routhier was a Canadian judge, author, and poet best known for writing the original French lyrics to Canada’s national anthem, "O Canada."
-
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.
Marcel Desautels
Marcel Desautels was a Canadian lawyer, businessman, and philanthropist best known for his major contributions to higher education and business schools in Canada.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2bdf6c819088d3c6ace83ca5ea |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503ea77708190ae55cd1892735b22 |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 8, 2026, 3:35 p.m.