Triple
T9291665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Escargot |
E223532
|
entity |
| Predicate | titleInFrench |
P6538
|
FINISHED |
| Object | L’Escargot |
E223532
|
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: L’Escargot | Statement: [L’Escargot, titleInFrench, L’Escargot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L’Escargot Context triple: [L’Escargot, titleInFrench, L’Escargot]
-
A.
L’Escargot
chosen
L’Escargot is a French-titled work known in English as "The Snail," most famously associated with Henri Matisse’s colorful cut-out collage artwork.
-
B.
La Rascasse
La Rascasse is a famous tight right-hand hairpin near the end of the Monaco Grand Prix circuit, known for its low speed and role in overtaking and race-defining incidents.
-
C.
La Soupe
La Soupe is a somber, monochromatic painting by Pablo Picasso that exemplifies the emotional depth and social themes of his Blue Period.
-
D.
Le Pâté
Le Pâté is a small, uninhabited islet in the Îles des Saintes archipelago of Guadeloupe in the Caribbean.
-
E.
Le Cru et le Cuit
Le Cru et le Cuit is the first volume of Claude Lévi-Strauss’s Mythologiques series, a seminal structuralist study of myth that analyzes the symbolic oppositions between raw and cooked food across diverse cultures.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0866ff608190a07afac4afd0ec09 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2381e2c8190acbecf97dea1200c |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:35 p.m.