Triple
T8170931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel de Sully |
E190816
|
entity |
| Predicate | commissionedBy |
P27
|
FINISHED |
| Object |
Mesme Gallet
Mesme Gallet was a 17th-century French financier and royal official known for commissioning the prestigious Hôtel de Sully in Paris.
|
E716048
|
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: Mesme Gallet | Statement: [Hôtel de Sully, commissionedBy, Mesme Gallet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mesme Gallet Context triple: [Hôtel de Sully, commissionedBy, Mesme Gallet]
-
A.
Las Galletas
Las Galletas is a small coastal resort town in southern Tenerife, Spain, known for its fishing harbor, relaxed atmosphere, and oceanfront promenades.
-
B.
Bisco
Bisco is a popular Japanese biscuit snack brand known for its cream-filled sandwich cookies marketed as a nutritious treat for children.
-
C.
Ceci
Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
-
D.
Alma Pudden
Alma Pudden is a fictional schoolgirl character from Enid Blyton’s "St. Clare’s" series, known for attending the boarding school of the same name.
-
E.
Minna Gombell
Minna Gombell was an American stage and film actress active in the 1930s and 1940s, known for her character roles in Hollywood productions.
- 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: Mesme Gallet Triple: [Hôtel de Sully, commissionedBy, Mesme Gallet]
Generated description
Mesme Gallet was a 17th-century French financier and royal official known for commissioning the prestigious Hôtel de Sully in Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mesme Gallet Target entity description: Mesme Gallet was a 17th-century French financier and royal official known for commissioning the prestigious Hôtel de Sully in Paris.
-
A.
Las Galletas
Las Galletas is a small coastal resort town in southern Tenerife, Spain, known for its fishing harbor, relaxed atmosphere, and oceanfront promenades.
-
B.
Bisco
Bisco is a popular Japanese biscuit snack brand known for its cream-filled sandwich cookies marketed as a nutritious treat for children.
-
C.
Ceci
Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
-
D.
Alma Pudden
Alma Pudden is a fictional schoolgirl character from Enid Blyton’s "St. Clare’s" series, known for attending the boarding school of the same name.
-
E.
Minna Gombell
Minna Gombell was an American stage and film actress active in the 1930s and 1940s, known for her character roles in Hollywood productions.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb48056d0c819094575090a41e0083 |
completed | March 31, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf5cfd588190b12ef9b5799ffd88 |
completed | April 1, 2026, 6:46 a.m. |
| NEDg | Description generation | batch_69ccc312a8608190b899394752ef375f |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd84893488190ae5376524650d5c4 |
completed | April 1, 2026, 8:33 a.m. |
Created at: March 30, 2026, 5:39 p.m.