Triple
T24244264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisters of Notre Dame de Namur |
E603317
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object |
Sœurs de Notre-Dame de Namur
Sœurs de Notre-Dame de Namur is a Roman Catholic religious congregation of women dedicated primarily to education and service to the poor, founded in France in the early 19th century and now active worldwide.
|
E1626526
|
NE FINISHED |
How this triple was built (2 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: Sœurs de Notre-Dame de Namur | Statement: [Sisters of Notre Dame de Namur, officialName, Sœurs de Notre-Dame de Namur]
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: Sœurs de Notre-Dame de Namur Triple: [Sisters of Notre Dame de Namur, officialName, Sœurs de Notre-Dame de Namur]
Generated description
Sœurs de Notre-Dame de Namur is a Roman Catholic religious congregation of women dedicated primarily to education and service to the poor, founded in France in the early 19th century and now active worldwide.
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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b82e13c819083ca524e47ed66b1 |
completed | April 29, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fbd33ec7081908d88d06a62c9d818 |
completed | May 22, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a0fbee12e748190ac0d28656458a335 |
completed | May 22, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fc2b76df88190b6bcba834def7619 |
completed | May 22, 2026, 2:43 a.m. |
Created at: April 18, 2026, 12:04 a.m.