Triple
T14704195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Émile Borel |
E345382
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Borel
Borel is a French surname most notably associated with Émile Borel, a pioneering mathematician in measure theory and probability.
|
E1116056
|
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: Borel | Statement: [Émile Borel, familyName, Borel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borel Context triple: [Émile Borel, familyName, Borel]
-
A.
Essert-Pittet
Essert-Pittet is a small municipality in the canton of Vaud in western Switzerland.
-
B.
Bousquet
Bousquet was an 18th-century publishing house known for issuing scientific and medical works, including Albrecht von Haller’s influential "Elementa Physiologiae Corporis Humani."
-
C.
Bochner
Bochner is a surname most notably associated with Salomon Bochner, a prominent mathematician known for his contributions to analysis and probability theory.
-
D.
Baire
Baire is a town in eastern Cuba historically notable as the site where the Cuban War of Independence was ignited by the Grito de Baire uprising in 1895.
-
E.
Serre-Chevalier
Serre-Chevalier is a major ski resort in the French Alps, renowned for its extensive slopes, sunny climate, and traditional mountain villages.
- 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: Borel Triple: [Émile Borel, familyName, Borel]
Generated description
Borel is a French surname most notably associated with Émile Borel, a pioneering mathematician in measure theory and probability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borel Target entity description: Borel is a French surname most notably associated with Émile Borel, a pioneering mathematician in measure theory and probability.
-
A.
Essert-Pittet
Essert-Pittet is a small municipality in the canton of Vaud in western Switzerland.
-
B.
Bousquet
Bousquet was an 18th-century publishing house known for issuing scientific and medical works, including Albrecht von Haller’s influential "Elementa Physiologiae Corporis Humani."
-
C.
Bochner
Bochner is a surname most notably associated with Salomon Bochner, a prominent mathematician known for his contributions to analysis and probability theory.
-
D.
Baire
Baire is a town in eastern Cuba historically notable as the site where the Cuban War of Independence was ignited by the Grito de Baire uprising in 1895.
-
E.
Serre-Chevalier
Serre-Chevalier is a major ski resort in the French Alps, renowned for its extensive slopes, sunny climate, and traditional mountain villages.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf087ce8c819081a7186df67bcf1f |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf2a63cc88190b3670378c54c96b6 |
completed | May 8, 2026, 2:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf31fcb4081908a88cf4d4c5ddced |
completed | May 8, 2026, 2:28 p.m. |
Created at: April 10, 2026, 1:28 a.m.