Triple
T13015939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École de Nancy |
E322550
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Henri Royer
Henri Royer was a French painter known for his portraits and genre scenes, often associated with the artistic circles of Nancy in the late 19th and early 20th centuries.
|
E1343546
|
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: Henri Royer | Statement: [École de Nancy, hasMember, Henri Royer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henri Royer Context triple: [École de Nancy, hasMember, Henri Royer]
-
A.
Pierre Authier
Pierre Authier is a French automotive designer best known for his work on contemporary Peugeot models, including the popular 208.
-
B.
Henri Contet
Henri Contet was a French lyricist known for writing songs for prominent chanson artists in the mid-20th century.
-
C.
Henri Lebasque
Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
-
D.
Henri Dutetre
Henri Dutetre was one of the discoverers of the prehistoric cave site of Pech Merle in southwestern France.
-
E.
Charles de Lorencez
Charles de Lorencez was a French general best known for leading the ill-fated French assault against Mexican forces at the Battle of Puebla in 1862.
- 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: Henri Royer Triple: [École de Nancy, hasMember, Henri Royer]
Generated description
Henri Royer was a French painter known for his portraits and genre scenes, often associated with the artistic circles of Nancy in the late 19th and early 20th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henri Royer Target entity description: Henri Royer was a French painter known for his portraits and genre scenes, often associated with the artistic circles of Nancy in the late 19th and early 20th centuries.
-
A.
Pierre Authier
Pierre Authier is a French automotive designer best known for his work on contemporary Peugeot models, including the popular 208.
-
B.
Henri Contet
Henri Contet was a French lyricist known for writing songs for prominent chanson artists in the mid-20th century.
-
C.
Henri Lebasque
Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
-
D.
Henri Dutetre
Henri Dutetre was one of the discoverers of the prehistoric cave site of Pech Merle in southwestern France.
-
E.
Charles de Lorencez
Charles de Lorencez was a French general best known for leading the ill-fated French assault against Mexican forces at the Battle of Puebla in 1862.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecd04748190ade2530ee5db35fe |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0546fdc4e881908b5c2a00085aab32 |
completed | May 14, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a054b1a8698819090e8594f00588703 |
completed | May 14, 2026, 4:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054b881bd48190ab3ae42719357d7c |
completed | May 14, 2026, 4:11 a.m. |
Created at: April 9, 2026, 8:50 p.m.