Triple
T28097111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laure Martinozzi |
E710122
|
entity |
| Predicate | court |
P242
|
FINISHED |
| Object |
Modenese ducal court
The Modenese ducal court was the princely residence and political-cultural center of the Dukes of Modena, known for its aristocratic life, patronage of the arts, and influence in early modern Italian and European affairs.
|
E1803978
|
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: Modenese ducal court | Statement: [Laure Martinozzi, court, Modenese ducal court]
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: Modenese ducal court Triple: [Laure Martinozzi, court, Modenese ducal court]
Generated description
The Modenese ducal court was the princely residence and political-cultural center of the Dukes of Modena, known for its aristocratic life, patronage of the arts, and influence in early modern Italian and European affairs.
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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6408e361c81909f759f90de0f70a3 |
completed | May 2, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15c92505a881908db108ad5ffa0595 |
completed | May 26, 2026, 4:24 p.m. |
| NEDg | Description generation | batch_6a15ca0309908190b067af60dc77238a |
completed | May 26, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15caa74e9c8190ad43be1d8ed6ad15 |
completed | May 26, 2026, 4:30 p.m. |
Created at: April 27, 2026, 9:02 p.m.