Triple
T1816795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École des Ponts et Chaussées |
E40452
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object | Michel Virlogeux |
E287257
|
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: Michel Virlogeux | Statement: [École des Ponts et Chaussées, hasAlumni, Michel Virlogeux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Virlogeux Context triple: [École des Ponts et Chaussées, hasAlumni, Michel Virlogeux]
-
A.
Michel Virlogeux
chosen
Michel Virlogeux is a renowned French structural engineer and bridge designer known for his work on major long-span bridges around the world.
-
B.
Thierry Delaporte
Thierry Delaporte is a French business executive best known as the CEO and Managing Director of Indian IT services giant Wipro.
-
C.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
D.
Thierry Cruanes
Thierry Cruanes is a computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
-
E.
Louis Boisot
Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65f614888190a475f7df627d5f0a |
completed | March 6, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf15a4248190b898e3bfbeb2997a |
completed | March 10, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:32 p.m.