Triple
T19744462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucia Ashton |
E474214
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Salvadore Cammarano |
—
|
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: Salvadore Cammarano | Statement: [Lucia Ashton, createdBy, Salvadore Cammarano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salvadore Cammarano Context triple: [Lucia Ashton, createdBy, Salvadore Cammarano]
-
A.
Salvadore Cammarano
chosen
Salvadore Cammarano was a 19th-century Italian librettist best known for writing texts for major operas by composers such as Gaetano Donizetti and Giuseppe Verdi.
-
B.
Alfonso Lombardi
Alfonso Lombardi was a 16th-century Italian sculptor known for his expressive terracotta and marble religious works, particularly in Bologna.
-
C.
Carmine Recano
Carmine Recano is an Italian actor known for his roles in contemporary Italian cinema and television.
-
D.
Juan Antonio Marino
Juan Antonio Marino is an individual notable enough to be recognized as a significant bearer of the surname Marino.
-
E.
Armando Gallo
Armando Gallo is a lighting designer known for his work on major international events, including the Pyeongchang Olympic Stadium ceremonies.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e652923fd48190982c51c39814fd08 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.