Triple
T6071593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giraud |
E135293
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Pierre Giraud
Pierre Giraud is a French web developer and educator known for his online programming and web development tutorials.
|
E729097
|
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: Pierre Giraud | Statement: [Giraud, hasNotableBearer, Pierre Giraud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Giraud Context triple: [Giraud, hasNotableBearer, Pierre Giraud]
-
A.
Sébastien Auzière
Sébastien Auzière is a French financial analyst known publicly as the eldest son of Brigitte Macron, the First Lady of France.
-
B.
René Guiette
René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
-
C.
Pierre Lacotte
Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
-
D.
Gilles Mahé
Gilles Mahé is a French local politician who serves as the mayor of the town of Chalonnes-sur-Loire in western France.
-
E.
Jacques Villeglé
Jacques Villeglé was a French artist best known for his torn poster collages that transformed urban street advertisements into politically and socially charged works of art.
- 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: Pierre Giraud Triple: [Giraud, hasNotableBearer, Pierre Giraud]
Generated description
Pierre Giraud is a French web developer and educator known for his online programming and web development tutorials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pierre Giraud Target entity description: Pierre Giraud is a French web developer and educator known for his online programming and web development tutorials.
-
A.
Sébastien Auzière
Sébastien Auzière is a French financial analyst known publicly as the eldest son of Brigitte Macron, the First Lady of France.
-
B.
René Guiette
René Guiette was a Belgian painter and art critic associated with modernist movements in the early 20th century.
-
C.
Pierre Lacotte
Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
-
D.
Gilles Mahé
Gilles Mahé is a French local politician who serves as the mayor of the town of Chalonnes-sur-Loire in western France.
-
E.
Jacques Villeglé
Jacques Villeglé was a French artist best known for his torn poster collages that transformed urban street advertisements into politically and socially charged works of art.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05758a21c81909cc10ef5f725a489 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde6789ec081909b051b8ce1bde35d |
completed | April 2, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69cdeb1fa7308190810b1fcc2184374a |
completed | April 2, 2026, 4:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdec3081d88190ad0699f9072d3fc7 |
completed | April 2, 2026, 4:10 a.m. |
Created at: March 22, 2026, 4:11 p.m.