Triple
T4680370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millau Viaduct |
E103783
|
entity |
| Predicate | structuralEngineer |
P616
|
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: [Millau Viaduct, structuralEngineer, Michel Virlogeux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Virlogeux Context triple: [Millau Viaduct, structuralEngineer, 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 Poletti
Michel Poletti is a French trail-running organizer best known for co-founding and directing the Ultra-Trail du Mont-Blanc, one of the world’s most prestigious ultramarathons.
-
D.
Michel Harmand
Michel Harmand is an automotive designer best known for his work on the innovative and aerodynamically styled Citroën CX.
-
E.
Michel Colombier
Michel Colombier was a French composer, arranger, and conductor known for his work in film scores, pop, and jazz, collaborating with major artists and contributing to numerous Hollywood soundtracks.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd636c105081908655ab384f539f38 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712687f408190ac948dcc990e8e08 |
completed | March 27, 2026, 11:27 p.m. |
Created at: March 20, 2026, 1:16 p.m.