Triple
T6162236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Thermopolis |
E137468
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Amelia Mignonette Thermopolis Renaldi |
E308795
|
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: Amelia Mignonette Thermopolis Renaldi | Statement: [Mia Thermopolis, fullName, Amelia Mignonette Thermopolis Renaldi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amelia Mignonette Thermopolis Renaldi Context triple: [Mia Thermopolis, fullName, Amelia Mignonette Thermopolis Renaldi]
-
A.
Amelia
Amelia was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
-
B.
Amelia
"Amelia" is a track featured on the album *Travelogue*, likely contributing a reflective or journey-themed element to the record’s overall narrative.
-
C.
Amelia
chosen
Amelia is a feminine given name of Latin and Germanic origin, commonly used in many countries and often associated with figures such as aviation pioneer Amelia Earhart.
-
D.
Alexis
Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
-
E.
Amelia Warner
Amelia Warner is a British actress and composer known for her film roles and for composing scores such as the soundtrack for the film "Mary Shelley."
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14199f024819089af02b1c0eebfad |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:17 p.m.