Triple
T12746485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Monnet |
E304616
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Silvia de Bondini |
E304616
|
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: Silvia de Bondini | Statement: [Jean Monnet, spouse, Silvia de Bondini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvia de Bondini Context triple: [Jean Monnet, spouse, Silvia de Bondini]
-
A.
Silvia de Bondini
chosen
Silvia de Bondini was the wife of influential French political economist and European integration pioneer Jean Monnet.
-
B.
Fina Strazza
Fina Strazza is an American actress best known for her starring role in the science fiction television series "Paper Girls."
-
C.
Lilia Vetti
Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
-
D.
Daniela Farinacci
Daniela Farinacci is an Australian actress known for her work in film, television, and theatre, including a notable role in the acclaimed drama "Lantana."
-
E.
Antonela Roccuzzo
Antonela Roccuzzo is an Argentine model and businesswoman best known as the longtime partner and wife of footballer Lionel Messi.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd58d30819082af4edb4cd0b4ab |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684ee2ab4819099194d115d2e5a15 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:27 p.m.