Triple
T16822791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gino Corrado |
E408936
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Liserani
Liserani is an Italian surname, notably borne by the character actor Gino Corrado.
|
E1234988
|
NE FINISHED |
How this triple was built (4 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: Liserani | Statement: [Gino Corrado, familyName, Liserani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liserani Context triple: [Gino Corrado, familyName, Liserani]
-
A.
Livaneli
Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
-
B.
Labici
Labici was an ancient town of Latium in central Italy, historically associated with the Latin League and later absorbed into the Roman sphere.
-
C.
Litas
Litas is the former official currency of Lithuania, used before the country adopted the euro.
-
D.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
-
E.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Liserani Triple: [Gino Corrado, familyName, Liserani]
Generated description
Liserani is an Italian surname, notably borne by the character actor Gino Corrado.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liserani Target entity description: Liserani is an Italian surname, notably borne by the character actor Gino Corrado.
-
A.
Livaneli
Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
-
B.
Labici
Labici was an ancient town of Latium in central Italy, historically associated with the Latin League and later absorbed into the Roman sphere.
-
C.
Litas
Litas is the former official currency of Lithuania, used before the country adopted the euro.
-
D.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
-
E.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
- F. None of above. chosen
Provenance (5 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_6a00b29c170c81908fcc88c31e266ffb |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b3cb7a2c8190a90ed07bc06dfc1b |
completed | May 10, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b466ecd08190b7b5ee54476631ab |
completed | May 10, 2026, 4:37 p.m. |
Created at: April 10, 2026, 5:23 a.m.