Triple
T13034556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sol Polito |
E326523
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Annunziata Polito |
E326523
|
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: Annunziata Polito | Statement: [Sol Polito, spouse, Annunziata Polito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annunziata Polito Context triple: [Sol Polito, spouse, Annunziata Polito]
-
A.
Annunziata Polito
chosen
Annunziata Polito was the wife of Italian-American cinematographer Sol Polito.
-
B.
Giulia D'Alema
Giulia D'Alema is known primarily as the daughter of Italian politician and former Prime Minister Massimo D'Alema.
-
C.
Cristina Amato
Cristina Amato is an individual notable enough to be recognized as a prominent bearer of the surname Amato.
-
D.
Rossana Podestà
Rossana Podestà was an Italian film actress best known for her roles in 1950s and 1960s European cinema, including the title role in the epic "Helen of Troy."
-
E.
Loredana Lecciso
Loredana Lecciso is an Italian television personality and showgirl known for her appearances on variety and gossip programs and her long-term relationship with singer Al Bano.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97effca908190ab89fdb034e02680 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbcf11f88190ab1746f973132af1 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:54 p.m.