Triple
T34866496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Bologne, Chevalier de Saint-Georges |
E1005025
|
entity |
| Predicate | militaryUnit |
P1063
|
FINISHED |
| Object |
Légion Saint-Georges
Légion Saint-Georges was a French Revolutionary cavalry unit famously commanded by the virtuoso composer and fencer Joseph Bologne, Chevalier de Saint-Georges, and notable for including Black and mixed-race soldiers.
|
E2114923
|
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: Légion Saint-Georges | Statement: [Joseph Bologne, Chevalier de Saint-Georges, militaryUnit, Légion Saint-Georges]
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: Légion Saint-Georges Triple: [Joseph Bologne, Chevalier de Saint-Georges, militaryUnit, Légion Saint-Georges]
Generated description
Légion Saint-Georges was a French Revolutionary cavalry unit famously commanded by the virtuoso composer and fencer Joseph Bologne, Chevalier de Saint-Georges, and notable for including Black and mixed-race soldiers.
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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78180c044819090f7eaf04bac4938 |
completed | May 3, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a377960d32481908ec5f3b85d1a5425 |
completed | June 21, 2026, 5:40 a.m. |
| NEDg | Description generation | batch_6a377a02724c8190a2ea67c5b5831aea |
completed | June 21, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a377ac60cd88190b1ea9540346df1c9 |
completed | June 21, 2026, 5:46 a.m. |
Created at: May 3, 2026, 4 p.m.