Triple
T21746734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Simon |
E536807
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Le Palace
Le Palace is a novel by French Nobel laureate Claude Simon, known for its dense, experimental narrative style and exploration of political upheaval and memory.
|
E1500161
|
NE FINISHED |
How this triple was built (4 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: Le Palace | Statement: [Claude Simon, notableWork, Le Palace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Palace Context triple: [Claude Simon, notableWork, Le Palace]
-
A.
Monplaisir Palace
Monplaisir Palace is a seaside Baroque pavilion in Peterhof, Russia, built as Peter the Great’s favored retreat overlooking the Gulf of Finland.
-
B.
Palais 12
Palais 12 is a large multi-purpose indoor arena and event venue located on the Heysel Plateau in Brussels, Belgium.
-
C.
Palais 5
Palais 5 is a large multi-purpose exhibition and event hall located on the Heysel Plateau in Brussels, Belgium.
-
D.
Le Palais
Le Palais is the principal port town and administrative center of Belle-Île, an island off the coast of Brittany in northwestern France.
-
E.
Hôtel du Palais
Hôtel du Palais is a historic luxury seaside hotel in Biarritz, France, originally built as an imperial residence for Napoleon III and Empress Eugénie.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Le Palace Triple: [Claude Simon, notableWork, Le Palace]
Generated description
Le Palace is a novel by French Nobel laureate Claude Simon, known for its dense, experimental narrative style and exploration of political upheaval and memory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Le Palace Target entity description: Le Palace is a novel by French Nobel laureate Claude Simon, known for its dense, experimental narrative style and exploration of political upheaval and memory.
-
A.
Monplaisir Palace
Monplaisir Palace is a seaside Baroque pavilion in Peterhof, Russia, built as Peter the Great’s favored retreat overlooking the Gulf of Finland.
-
B.
Palais 12
Palais 12 is a large multi-purpose indoor arena and event venue located on the Heysel Plateau in Brussels, Belgium.
-
C.
Palais 5
Palais 5 is a large multi-purpose exhibition and event hall located on the Heysel Plateau in Brussels, Belgium.
-
D.
Le Palais
Le Palais is the principal port town and administrative center of Belle-Île, an island off the coast of Brittany in northwestern France.
-
E.
Hôtel du Palais
Hôtel du Palais is a historic luxury seaside hotel in Biarritz, France, originally built as an imperial residence for Napoleon III and Empress Eugénie.
- F. None of above. chosen
Provenance (5 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a771b908190886cade242e263e4 |
completed | April 28, 2026, 2:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2eddcabc8190a97320733d2b44ca |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a3069272c8190a6c90ca0c8b777d5 |
completed | May 17, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a3114ce6c8190aeb972462837bb25 |
completed | May 17, 2026, 9:20 p.m. |
Created at: April 16, 2026, 6:49 p.m.