Triple
T21372934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lino Panizza Richero |
E527115
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lino |
—
|
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: Lino | Statement: [Lino Panizza Richero, givenName, Lino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lino Context triple: [Lino Panizza Richero, givenName, Lino]
-
A.
Lino
chosen
Lino is an Italian masculine given name, often used as a short form of names like Lino Lacedelli.
-
B.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
C.
Lelio
Lelio is a surname most notably associated with Chilean film director and screenwriter Sebastián Lelio, known for works such as "A Fantastic Woman."
-
D.
Riggo
Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
-
E.
Tino
Tino is a small Italian island in the Ligurian Sea, known for its military base, lighthouse, and historic monastery ruins near the Gulf of La Spezia.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b18b2c81908e16beff92381160 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.