Triple
T31356050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess in Bavaria |
E799732
|
entity |
| Predicate | hasNotableHolder |
P1918
|
FINISHED |
| Object |
Duchess Maria Sophie in Bavaria
Duchess Maria Sophie in Bavaria was a 19th-century Bavarian noblewoman best known as the last Queen consort of the Kingdom of the Two Sicilies and for her staunch defense of Gaeta during Italian unification.
|
E2295927
|
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: Duchess Maria Sophie in Bavaria | Statement: [Duchess in Bavaria, hasNotableHolder, Duchess Maria Sophie in Bavaria]
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: Duchess Maria Sophie in Bavaria Triple: [Duchess in Bavaria, hasNotableHolder, Duchess Maria Sophie in Bavaria]
Generated description
Duchess Maria Sophie in Bavaria was a 19th-century Bavarian noblewoman best known as the last Queen consort of the Kingdom of the Two Sicilies and for her staunch defense of Gaeta during Italian unification.
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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f470e8c8190a92ac1c47877bafc |
completed | May 3, 2026, 1:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a820faa35c08190bb38d6f5c2ffd2ff |
completed | Aug. 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a820ffc7c2c8190b41dd28a942641b9 |
completed | Aug. 16, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a82104e07088190b30d1436edc1d215 |
completed | Aug. 16, 2026, 7:32 p.m. |
Created at: April 29, 2026, 9:17 p.m.