Triple
T5598367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe De Stefanis |
E147053
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | De Stefanis |
E147053
|
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: De Stefanis | Statement: [Giuseppe De Stefanis, familyName, De Stefanis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Stefanis Context triple: [Giuseppe De Stefanis, familyName, De Stefanis]
-
A.
Andrea Leone
Andrea Leone is one of the children of legendary Italian film director Sergio Leone.
-
B.
Leonida Repaci
Leonida Repaci was an Italian writer, journalist, and cultural figure best known for his role in 20th-century Italian literature and intellectual life.
-
C.
Giuseppe De Stefanis
chosen
Giuseppe De Stefanis was an Italian general best known for commanding armored forces, including the Ariete Division, during World War II.
-
D.
Marco Barricelli
Marco Barricelli is an Italian-American actor and theatre director known for his work on stage and in voice roles for film and television.
-
E.
Lorenzo De Stefano
Lorenzo De Stefano is a film editor best known for his work on the influential bodybuilding documentary "Pumping Iron."
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d82870819087f9591b5a1021ce |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287139508190aa646918228cfdc0 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.