Triple
T4238116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Puzo |
E94743
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Mario Gianluigi Puzo |
E94743
|
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: Mario Gianluigi Puzo | Statement: [Mario Puzo, birthName, Mario Gianluigi Puzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Gianluigi Puzo Context triple: [Mario Puzo, birthName, Mario Gianluigi 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.
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.
-
C.
Rafael Sabatini
Rafael Sabatini was an Italian-English author best known for his swashbuckling historical adventure novels such as "Scaramouche" and "Captain Blood."
-
D.
George Russo
George Russo is an actor known for his role in the film "The Time of Angels."
-
E.
Agenore Incrocci
Agenore Incrocci was an Italian screenwriter, best known as part of the celebrated writing duo Age & Scarpelli, who helped shape classic Italian cinema and comedy.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e7589b48190a16e7ff29fb6a162 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b779a93081909af1abdf664f040f |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:05 p.m.