Triple

T5761265
Position Surface form Disambiguated ID Type / Status
Subject Ernest Bloch E127098 entity
Predicate studiedUnder P7251 FINISHED
Object François Rasse
François Rasse was a Belgian composer, conductor, and music educator active in the late 19th and early 20th centuries.
E596614 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: François Rasse | Statement: [Ernest Bloch, studiedUnder, François Rasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François Rasse
Context triple: [Ernest Bloch, studiedUnder, François Rasse]
  • A. François Douaren
    François Douaren was a 16th-century French jurist and humanist scholar known for his influential contributions to legal humanism and Roman law studies.
  • B. Pierre Rousseau
    Pierre Rousseau was an 18th-century French architect noted for his neoclassical designs in Paris.
  • C. Pierre Ruffey
    Pierre Ruffey was a French Army general during World War I who played a key role in the early Western Front campaigns, notably commanding forces in the 1914 Battle of the Ardennes.
  • D. Henri Lebasque
    Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
  • E. Louis Boisot
    Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
  • 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: François Rasse
Triple: [Ernest Bloch, studiedUnder, François Rasse]
Generated description
François Rasse was a Belgian composer, conductor, and music educator active in the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: François Rasse
Target entity description: François Rasse was a Belgian composer, conductor, and music educator active in the late 19th and early 20th centuries.
  • A. François Douaren
    François Douaren was a 16th-century French jurist and humanist scholar known for his influential contributions to legal humanism and Roman law studies.
  • B. Pierre Rousseau
    Pierre Rousseau was an 18th-century French architect noted for his neoclassical designs in Paris.
  • C. Pierre Ruffey
    Pierre Ruffey was a French Army general during World War I who played a key role in the early Western Front campaigns, notably commanding forces in the 1914 Battle of the Ardennes.
  • D. Henri Lebasque
    Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
  • E. Louis Boisot
    Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02939b22c81908f8354ab175d168d completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65373f5388190bb2da987d6d24d23 completed March 27, 2026, 9:52 a.m.
NEDg Description generation batch_69c655afe8b88190a4d9ba83126e71af completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c65613a30c81908c737122e1005290 completed March 27, 2026, 10:04 a.m.
Created at: March 22, 2026, 3:49 p.m.