Triple
T2013461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Académie Julian |
E43739
|
entity |
| Predicate | student |
P7251
|
FINISHED |
| Object |
Henri Zuber
Henri Zuber was a 19th-century French painter and watercolorist known for his landscapes and Orientalist scenes.
|
E343346
|
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 Zuber | Statement: [Académie Julian, student, Henri Zuber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henri Zuber Context triple: [Académie Julian, student, Henri Zuber]
-
A.
Henri Meilhac
Henri Meilhac was a 19th-century French dramatist and librettist best known for his collaborations with Ludovic Halévy on operas by composers such as Georges Bizet and Jacques Offenbach.
-
B.
Henri Contet
Henri Contet was a French lyricist known for writing songs for prominent chanson artists in the mid-20th century.
-
C.
Georges André
Georges André was a French athlete best known for taking the Olympic Oath at the 1924 Summer Olympics in Paris.
-
D.
Georges Récipon
Georges Récipon was a French sculptor best known for his ornate allegorical sculptures and monumental works in Paris during the late 19th and early 20th centuries.
-
E.
Pierre Montet
Pierre Montet was a French Egyptologist renowned for his excavations and discoveries in ancient Egyptian sites, particularly royal tombs.
- 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 Zuber Triple: [Académie Julian, student, Henri Zuber]
Generated description
Henri Zuber was a 19th-century French painter and watercolorist known for his landscapes and Orientalist scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henri Zuber Target entity description: Henri Zuber was a 19th-century French painter and watercolorist known for his landscapes and Orientalist scenes.
-
A.
Henri Meilhac
Henri Meilhac was a 19th-century French dramatist and librettist best known for his collaborations with Ludovic Halévy on operas by composers such as Georges Bizet and Jacques Offenbach.
-
B.
Henri Contet
Henri Contet was a French lyricist known for writing songs for prominent chanson artists in the mid-20th century.
-
C.
Georges André
Georges André was a French athlete best known for taking the Olympic Oath at the 1924 Summer Olympics in Paris.
-
D.
Georges Récipon
Georges Récipon was a French sculptor best known for his ornate allegorical sculptures and monumental works in Paris during the late 19th and early 20th centuries.
-
E.
Pierre Montet
Pierre Montet was a French Egyptologist renowned for his excavations and discoveries in ancient Egyptian sites, particularly royal tombs.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b42d508190bf2b63132bb2ad77 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e7fbc76c8190a66110203d53f055 |
completed | March 12, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_69b2e8a5f70c8190a8739c7adb900461 |
completed | March 12, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2e916b5708190b5cba6fa7b434dcb |
completed | March 12, 2026, 4:25 p.m. |
Created at: March 4, 2026, 7:37 p.m.