Triple
T8906159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Françoise Gilot |
E212063
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Luc Simon |
E212063
|
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: Luc Simon | Statement: [Françoise Gilot, spouse, Luc Simon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luc Simon Context triple: [Françoise Gilot, spouse, Luc Simon]
-
A.
Luc Simon
chosen
Luc Simon is a French painter best known for his marriage to artist and writer Françoise Gilot.
-
B.
Leon Simon
Leon Simon is an Australian-American mathematician renowned for his influential work in geometric analysis and partial differential equations.
-
C.
Claude Lebel
Claude Lebel is the methodical French police detective who leads the investigation to stop the assassin in Frederick Forsyth’s thriller "The Day of the Jackal."
-
D.
Thierry Sabine
Thierry Sabine was a French motorcycle racer and adventurer best known for creating the Paris–Dakar Rally, one of the world’s most famous and challenging off-road endurance races.
-
E.
Michel Seydoux
Michel Seydoux is a French film producer best known for backing ambitious auteur projects, including Alejandro Jodorowsky’s legendary unmade adaptation of "Dune."
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c51d6c819098dc33a480dfd462 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba2cb5e48190813e9c08198149b0 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:55 p.m.