Triple
T7766804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler |
E176168
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
le Boteler
le Boteler is a historical surname variant of "Butler," traditionally associated with the occupation of a household steward or wine servant in medieval Europe.
|
E687203
|
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: le Boteler | Statement: [Butler, hasVariantForm, le Boteler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: le Boteler Context triple: [Butler, hasVariantForm, le Boteler]
-
A.
Biréli Lagrène
Biréli Lagrène is a French jazz guitarist renowned for his virtuosic gypsy jazz playing and for carrying forward the legacy of Django Reinhardt.
-
B.
Jean Bullant
Jean Bullant was a 16th-century French Renaissance architect and sculptor known for his work on royal projects and his role in shaping classical architectural style in France.
-
C.
Roland Gallois
Roland Gallois is a film editor known for his work on the feature film "Slow West."
-
D.
Daniel Guerard
Daniel Guerard is a French-born actor and former spouse of American actress Lorraine Bracco.
-
E.
Paulin Talabot
Paulin Talabot was a 19th-century French engineer, entrepreneur, and banker who played a key role in developing France’s railway network and later helped establish major financial institutions.
- 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: le Boteler Triple: [Butler, hasVariantForm, le Boteler]
Generated description
le Boteler is a historical surname variant of "Butler," traditionally associated with the occupation of a household steward or wine servant in medieval Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: le Boteler Target entity description: le Boteler is a historical surname variant of "Butler," traditionally associated with the occupation of a household steward or wine servant in medieval Europe.
-
A.
Biréli Lagrène
Biréli Lagrène is a French jazz guitarist renowned for his virtuosic gypsy jazz playing and for carrying forward the legacy of Django Reinhardt.
-
B.
Jean Bullant
Jean Bullant was a 16th-century French Renaissance architect and sculptor known for his work on royal projects and his role in shaping classical architectural style in France.
-
C.
Roland Gallois
Roland Gallois is a film editor known for his work on the feature film "Slow West."
-
D.
Daniel Guerard
Daniel Guerard is a French-born actor and former spouse of American actress Lorraine Bracco.
-
E.
Paulin Talabot
Paulin Talabot was a 19th-century French engineer, entrepreneur, and banker who played a key role in developing France’s railway network and later helped establish major financial institutions.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7043451bc8190a76ee066b779b7d7 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e1a1408190a802d4f4afb8dd05 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8b75b848190a67de2040d563f86 |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c941814081909d299df5cd714c71 |
completed | March 29, 2026, 6:40 a.m. |
Created at: March 27, 2026, 4:10 p.m.