Triple
T19807798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jules Sitruk |
E475859
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | La Source |
—
|
NE NERFINISHED |
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: La Source | Statement: [Jules Sitruk, notableWork, La Source]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Source Context triple: [Jules Sitruk, notableWork, La Source]
-
A.
La Source
La Source is a well-known high-speed corner at the Circuit de Spa-Francorchamps, famous as the tight hairpin that opens a lap of the Belgian Grand Prix and Spa 24 Hours.
-
B.
La Source
La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
-
C.
La Source
La Source is a popular surf break near Taghazout, Morocco, known for its consistent waves and scenic Atlantic coastline.
-
D.
La source
chosen
La source is a 19th-century ballet composed by Léo Delibes (with contributions by Ludwig Minkus), known for its lyrical melodies and place in the Romantic ballet repertoire.
-
E.
Cerca-la-Source
Cerca-la-Source is a commune and town in Haiti located within the country's Centre Department.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428f5c48190be6ae0d6a77675d2 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.