Triple
T21564982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Altobello |
E532139
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Mario Puzo |
—
|
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: Mario Puzo | Statement: [Don Altobello, createdBy, Mario Puzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Puzo Context triple: [Don Altobello, createdBy, Mario Puzo]
-
A.
Mario Puzo
chosen
Mario Puzo was an American author and screenwriter best known for writing the novel "The Godfather" and co-writing its acclaimed film adaptations.
-
B.
Donald Camillieri
Donald Camillieri is known as the former husband of American actress Kathy Baker.
-
C.
Paul Galdone
Paul Galdone was a Hungarian-born American illustrator and author best known for his distinctive artwork in numerous classic children's books and fairy tales.
-
D.
Giuseppe Moccia
Giuseppe Moccia was an Italian screenwriter and director known for his work on popular comedy films, often in collaboration with Franco Castellano as the duo "Castellano & Pipolo."
-
E.
Mario Delpini
Mario Delpini is an Italian Roman Catholic prelate who serves as the Archbishop of Milan, one of the most prominent dioceses in the Catholic Church.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e777c881908de84493fa939ff3 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:30 p.m.