Triple
T6439349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Valjean |
E138177
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object |
Urbain Fabre
Urbain Fabre is an alias used by Jean Valjean, the protagonist of Victor Hugo's novel "Les Misérables."
|
E763806
|
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: Urbain Fabre | Statement: [Jean Valjean, hasAlias, Urbain Fabre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urbain Fabre Context triple: [Jean Valjean, hasAlias, Urbain Fabre]
-
A.
Eugène Ferret
Eugène Ferret was an architect best known for designing the historic Sanremo Casino in Italy.
-
B.
Charles Rabot
Charles Rabot was a French geographer, explorer, and glaciologist known for his pioneering expeditions in Arctic regions and contributions to polar research.
-
C.
Guy-Victor Duperré
Guy-Victor Duperré was a prominent 19th-century French naval officer who rose to the highest ranks of the French Navy and played key roles in the Napoleonic Wars and French colonial campaigns.
-
D.
Armand Petitjean
Armand Petitjean was a French perfumer and entrepreneur best known for creating the luxury cosmetics and fragrance brand Lancôme in the 1930s.
-
E.
Théodore Maunoir
Théodore Maunoir was a Swiss physician and humanitarian who was one of the key co-founders of the International Committee of the Red Cross in the 19th century.
- 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: Urbain Fabre Triple: [Jean Valjean, hasAlias, Urbain Fabre]
Generated description
Urbain Fabre is an alias used by Jean Valjean, the protagonist of Victor Hugo's novel "Les Misérables."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urbain Fabre Target entity description: Urbain Fabre is an alias used by Jean Valjean, the protagonist of Victor Hugo's novel "Les Misérables."
-
A.
Eugène Ferret
Eugène Ferret was an architect best known for designing the historic Sanremo Casino in Italy.
-
B.
Charles Rabot
Charles Rabot was a French geographer, explorer, and glaciologist known for his pioneering expeditions in Arctic regions and contributions to polar research.
-
C.
Guy-Victor Duperré
Guy-Victor Duperré was a prominent 19th-century French naval officer who rose to the highest ranks of the French Navy and played key roles in the Napoleonic Wars and French colonial campaigns.
-
D.
Armand Petitjean
Armand Petitjean was a French perfumer and entrepreneur best known for creating the luxury cosmetics and fragrance brand Lancôme in the 1930s.
-
E.
Théodore Maunoir
Théodore Maunoir was a Swiss physician and humanitarian who was one of the key co-founders of the International Committee of the Red Cross in the 19th century.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06967241c8190965bac395adf2d03 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfaae99194819095cf9b74267956a4 |
completed | April 3, 2026, 11:56 a.m. |
| NEDg | Description generation | batch_69cfac76d0f8819090c2bff520db52f4 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad04e514819084bf30b8f026c031 |
completed | April 3, 2026, 12:05 p.m. |
Created at: March 22, 2026, 4:45 p.m.