Triple
T16736614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gérard Deschamps |
E406733
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Deschamps |
E1188256
|
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: Deschamps | Statement: [Gérard Deschamps, familyName, Deschamps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deschamps Context triple: [Gérard Deschamps, familyName, Deschamps]
-
A.
Deschamps
chosen
Deschamps is a French surname most prominently associated with Didier Deschamps, the World Cup–winning footballer and manager of the French national team.
-
B.
Jordy Deschamps
Jordy Deschamps is a writer known for his work on the project or publication titled "#Selfie."
-
C.
Marc Deschamps
Marc Deschamps is a French automobile designer known for his influential work at Bertone, where he helped shape several notable European cars of the late 20th century.
-
D.
Pierre Chambiges
Pierre Chambiges was a prominent 16th-century French Renaissance architect best known for his influential work on major Parisian civic and religious buildings.
-
E.
Didier
Didier is a masculine given name of French origin, notably borne by Ivorian football legend Didier Drogba.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3a86848190a03f243dd1bdb899 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4ea8208190aed0a4014a10d120 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.