Triple
T4960496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riccardo Muti |
E111392
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Chiara Muti |
E482223
|
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: Chiara Muti | Statement: [Riccardo Muti, hasChild, Chiara Muti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiara Muti Context triple: [Riccardo Muti, hasChild, Chiara Muti]
-
A.
Cristina Mazzavillani Muti
chosen
Cristina Mazzavillani Muti is an Italian opera director and founder of the Ravenna Festival, known for her innovative stagings and long association with major European cultural institutions.
-
B.
Elena Muti
Elena Muti is the alluring and aristocratic femme fatale who embodies decadent beauty and destructive passion in Gabriele D’Annunzio’s novel "Il piacere."
-
C.
Nicoletta Mantovani
Nicoletta Mantovani is an Italian former personal assistant and the second wife of legendary tenor Luciano Pavarotti, known for managing aspects of his later life and legacy.
-
D.
Chiara Nappi
Chiara Nappi is an Italian theoretical physicist known for her work in string theory and mathematical physics.
-
E.
Irene Mecchi
Irene Mecchi is an American screenwriter and lyricist best known for her work on Disney animated films such as The Lion King, The Hunchback of Notre Dame, and Hercules.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71da80008190a0d606d5091822b8 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89f639c081908658c1a228081dd9 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:32 p.m.