Triple
T12639688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coupe de France |
E301859
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Jules Rimet |
E614168
|
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: Jules Rimet | Statement: [Coupe de France, founder, Jules Rimet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jules Rimet Context triple: [Coupe de France, founder, Jules Rimet]
-
A.
Jules Rimet
chosen
Jules Rimet was a French football administrator best known as the long-serving FIFA president who founded the FIFA World Cup tournament.
-
B.
João Havelange
João Havelange was a Brazilian sports administrator who served as the long-time president of FIFA and played a major role in globalizing and commercializing world football.
-
C.
Elie Delaunay
Elie Delaunay was a 19th-century French painter known for his refined academic style and historical and mythological subjects.
-
D.
Laurent Platini
Laurent Platini is the son of legendary French footballer and former UEFA president Michel Platini.
-
E.
Marcel Guillemaud
Marcel Guillemaud was a writer whose work served as the basis for the film "Le Million."
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961499de08190bdba66ca40b021be |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668754acc8190b5585dbd35387867 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:16 p.m.