Triple
T10361837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquis of Mazzini |
E244154
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Julia Mazzini
Julia Mazzini is a noblewoman known primarily as the daughter and heiress of the Italian aristocrat the Marquis of Mazzini.
|
E858699
|
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: Julia Mazzini | Statement: [Marquis of Mazzini, hasChild, Julia Mazzini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Mazzini Context triple: [Marquis of Mazzini, hasChild, Julia Mazzini]
-
A.
Julia Mazzini
Julia Mazzini is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "A Sicilian Romance."
-
B.
Julia Procilla
Julia Procilla was a Roman noblewoman of the 1st century AD, best known as the mother of the prominent general and governor Gnaeus Julius Agricola.
-
C.
Josephine Nitti
Josephine Nitti was the wife of notorious Chicago Outfit mob boss Frank Nitti, connecting her to the inner circle of American organized crime during the Prohibition era.
-
D.
Julia Smith
Julia Smith was a British television producer and director best known for co-creating the long-running BBC soap opera EastEnders.
-
E.
Emmeline Obermeyer
Emmeline Obermeyer was the first wife of influential American photographer and modern art promoter Alfred Stieglitz.
- 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: Julia Mazzini Triple: [Marquis of Mazzini, hasChild, Julia Mazzini]
Generated description
Julia Mazzini is a noblewoman known primarily as the daughter and heiress of the Italian aristocrat the Marquis of Mazzini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julia Mazzini Target entity description: Julia Mazzini is a noblewoman known primarily as the daughter and heiress of the Italian aristocrat the Marquis of Mazzini.
-
A.
Julia Mazzini
Julia Mazzini is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "A Sicilian Romance."
-
B.
Julia Procilla
Julia Procilla was a Roman noblewoman of the 1st century AD, best known as the mother of the prominent general and governor Gnaeus Julius Agricola.
-
C.
Josephine Nitti
Josephine Nitti was the wife of notorious Chicago Outfit mob boss Frank Nitti, connecting her to the inner circle of American organized crime during the Prohibition era.
-
D.
Julia Smith
Julia Smith was a British television producer and director best known for co-creating the long-running BBC soap opera EastEnders.
-
E.
Emmeline Obermeyer
Emmeline Obermeyer was the first wife of influential American photographer and modern art promoter Alfred Stieglitz.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96209548190957368ee8c6a9ec3 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750bcf00081909b44ffa5df76aec1 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618ecb748190a492406eabe590d7 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77057affc8190b420e66560c3dfbd |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:59 a.m.