Triple
T9545957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick de Carolis |
E230285
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Patrick de Carolis |
E230285
|
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: Patrick de Carolis | Statement: [Patrick de Carolis, name, Patrick de Carolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick de Carolis Context triple: [Patrick de Carolis, name, Patrick de Carolis]
-
A.
Patrick de Carolis
chosen
Patrick de Carolis is a French journalist and television executive who became the mayor of Arles.
-
B.
Franco Cristaldi
Franco Cristaldi was an influential Italian film producer known for backing acclaimed classics such as "Divorce Italian Style" and "Cinema Paradiso."
-
C.
Guido De Rosso
Guido De Rosso is an Italian former professional road cyclist known for his strong stage-race performances in the early 1960s.
-
D.
Dionys Mascolo
Dionys Mascolo was a French writer, editor, and political intellectual known for his involvement in leftist movements and his long relationship with author Marguerite Duras.
-
E.
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.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9902fca081909125660ae6336d3f |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79445b9288190a684184285966fa8 |
completed | April 9, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:02 p.m.