Triple
T20959192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady L |
E516191
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Carlo Ponti |
—
|
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: Carlo Ponti | Statement: [Lady L, producer, Carlo Ponti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlo Ponti Context triple: [Lady L, producer, Carlo Ponti]
-
A.
Carlo Ponti
chosen
Carlo Ponti was an influential Italian film producer best known for his collaborations with major directors and for producing films starring his wife, Sophia Loren.
-
B.
Carlo Ponti Jr.
Carlo Ponti Jr. is an Italian orchestral conductor and the son of actress Sophia Loren and film producer Carlo Ponti.
-
C.
Renato Castellani
Renato Castellani was an Italian film director and screenwriter associated with the neorealist movement, known for works such as "Romeo and Juliet" (1954) and "Two Women."
-
D.
Christian De Sica
Christian De Sica is an Italian actor and director best known for his prolific work in Italian comedy films and as the son of legendary filmmaker Vittorio De Sica.
-
E.
Guido Pontecorvo
Guido Pontecorvo was an Italian geneticist renowned for his pioneering work in microbial genetics and the study of gene mapping using fungi.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6e50988190a564d2aaf1a9bc54 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:29 p.m.