Triple
T15326581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Francis de Sales |
E366426
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Thorens-Glières
Thorens-Glières is a small commune in southeastern France, historically notable as the birthplace of Catholic bishop and Doctor of the Church St. Francis de Sales.
|
E1149459
|
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: Thorens-Glières | Statement: [St. Francis de Sales, placeOfBirth, Thorens-Glières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorens-Glières Context triple: [St. Francis de Sales, placeOfBirth, Thorens-Glières]
-
A.
Ruland
Ruland is a surname most notably associated with former professional basketball player and coach Jeff Ruland.
-
B.
Royer
Royer was a costume designer known for his work on classic Hollywood films, including the 1939 drama "The Rains Came."
-
C.
Braun-Pivet
Braun-Pivet is the surname of Yaël Braun-Pivet, a prominent French politician who has served as President of the National Assembly.
-
D.
Nucourt
Nucourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
E.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
- 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: Thorens-Glières Triple: [St. Francis de Sales, placeOfBirth, Thorens-Glières]
Generated description
Thorens-Glières is a small commune in southeastern France, historically notable as the birthplace of Catholic bishop and Doctor of the Church St. Francis de Sales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thorens-Glières Target entity description: Thorens-Glières is a small commune in southeastern France, historically notable as the birthplace of Catholic bishop and Doctor of the Church St. Francis de Sales.
-
A.
Ruland
Ruland is a surname most notably associated with former professional basketball player and coach Jeff Ruland.
-
B.
Royer
Royer was a costume designer known for his work on classic Hollywood films, including the 1939 drama "The Rains Came."
-
C.
Braun-Pivet
Braun-Pivet is the surname of Yaël Braun-Pivet, a prominent French politician who has served as President of the National Assembly.
-
D.
Nucourt
Nucourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
E.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dfd8f048190831b463a2728eafe |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8add7088190b124bd4727bb2f28 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fef9ed514081909a54da584dff7e5c |
completed | May 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa72f9cc819089550217ea7c7d6e |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 10, 2026, 3:16 a.m.