Triple
T10550488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame de Menon |
E248933
|
entity |
| Predicate | guides |
P488
|
FINISHED |
| Object | Emilia Mazzini |
E859286
|
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: Emilia Mazzini | Statement: [Madame de Menon, guides, Emilia Mazzini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emilia Mazzini Context triple: [Madame de Menon, guides, Emilia Mazzini]
-
A.
Emilia Mazzini
chosen
Emilia Mazzini is a fictional Italian noblewoman, the daughter of the Marquis of Mazzini, in Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho."
-
B.
Julia Mazzini
Julia Mazzini is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "A Sicilian Romance."
-
C.
Julia Mazzini
Julia Mazzini is a noblewoman known primarily as the daughter and heiress of the Italian aristocrat the Marquis of Mazzini.
-
D.
Alfonsina Orsini
Alfonsina Orsini was an influential Italian noblewoman of the Medici family who played a key political role in early 16th-century Florence and the Papal court.
-
E.
Minna Waldeck
Minna Waldeck was the wife of renowned German mathematician and scientist Carl Friedrich Gauss.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d4c4048190a104d6e088f565b3 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b474a248190b46c31e8e0008f9f |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:34 p.m.