Triple
T10945866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thierry Delaporte |
E258595
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thierry Delaporte |
E258595
|
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: Thierry Delaporte | Statement: [Thierry Delaporte, name, Thierry Delaporte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thierry Delaporte Context triple: [Thierry Delaporte, name, Thierry Delaporte]
-
A.
Thierry Delaporte
chosen
Thierry Delaporte is a French business executive best known as the CEO and Managing Director of Indian IT services giant Wipro.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Michel Virlogeux
Michel Virlogeux is a renowned French structural engineer and bridge designer known for his work on major long-span bridges around the world.
-
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.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770e9a89081908979efd1d9e6af66 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e2991c81908f474fe07a6ba10a |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 8, 2026, 9:23 p.m.