Triple
T15054618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maddalena Orsini |
E379454
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Clarice Orsini |
E73494
|
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: Clarice Orsini | Statement: [Maddalena Orsini, mother, Clarice Orsini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarice Orsini Context triple: [Maddalena Orsini, mother, Clarice Orsini]
-
A.
Clarice Orsini
chosen
Clarice Orsini was a 15th-century Italian noblewoman of the Orsini family and wife of Lorenzo de' Medici, noted as the mother of Pope Leo X.
-
B.
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.
-
C.
Signora Madeline Vesey Neroni
Signora Madeline Vesey Neroni is a beautiful, manipulative, and flirtatious disabled woman in Anthony Trollope’s novel "Barchester Towers," known for her dramatic presence and social influence.
-
D.
Lavinia Valbonesi
Lavinia Valbonesi is an Ecuadorian nutritionist, social media influencer, and First Lady of Ecuador as the wife of President Daniel Noboa.
-
E.
Sophia Subercaseaux
Sophia Subercaseaux is an editor known for her work on the novel "The Devil All the Time."
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda92091c81909180f486edf01405 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5bdeee48190949b0fe63eb6a21a |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.