Triple
T22955259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachele Mussolini (daughter of Romano) |
E570737
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rachele |
—
|
NE NERFINISHED |
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: Rachele | Statement: [Rachele Mussolini (daughter of Romano), givenName, Rachele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachele Context triple: [Rachele Mussolini (daughter of Romano), givenName, Rachele]
-
A.
Rachele
chosen
Rachele is an Italian given name, notably borne by Rachele Mussolini, the wife of dictator Benito Mussolini.
-
B.
Racheal
Racheal is a given name, typically a variant spelling of the more common name Rachel.
-
C.
Arnella
Arnella is a feminine given name, notably borne by Arnella Flynn, the daughter of actor Errol Flynn.
-
D.
Nicolette
Nicolette is a feminine given name, often associated with the English-language form of the French name Nicolette and borne by various notable figures in arts and entertainment.
-
E.
Drisella
Drisella is one of Cinderella’s vain and spiteful stepsisters in Disney’s 2015 live-action adaptation of the classic fairy tale.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f09de48190b55913570c965412 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.