Triple
T16822788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gino Corrado |
E408936
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gino Corrado |
E408936
|
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: Gino Corrado | Statement: [Gino Corrado, name, Gino Corrado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gino Corrado Context triple: [Gino Corrado, name, Gino Corrado]
-
A.
Gino Corrado
chosen
Gino Corrado was an Italian-born character actor in early American cinema, known for his numerous supporting and bit roles in silent and classic Hollywood films.
-
B.
Gennaro Giordano
Gennaro Giordano is an individual notable for bearing the Italian surname Giordano.
-
C.
Armando Gallo
Armando Gallo is a lighting designer known for his work on major international events, including the Pyeongchang Olympic Stadium ceremonies.
-
D.
Giuseppe Ferrandino
Giuseppe Ferrandino is an Italian writer and comic-book scriptwriter known for his gritty, noir-influenced crime novels.
-
E.
Vincenzo Brenna
Vincenzo Brenna was an Italian-born architect and designer active in the late 18th and early 19th centuries, known for his work in Russia and his contributions to neoclassical and early Romantic architecture.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e838e881908b650194c9b94886 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c79cdf9c8190aa20d536ca17ab81 |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:23 a.m.