Triple
T20736737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lezhë |
E509729
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Alessio
Alessio is the historical Italian name for the Albanian city of Lezhë, known for its medieval heritage and role in regional history.
|
E1448510
|
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: Alessio | Statement: [Lezhë, historicalName, Alessio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alessio Context triple: [Lezhë, historicalName, Alessio]
-
A.
Alessio Vlad
Alessio Vlad is an Italian composer and music supervisor known for his film scores, including his work on the drama "Tea with Mussolini."
-
B.
Luca Ferraro
Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
-
C.
Luca Infascelli
Luca Infascelli is an Italian screenwriter known for his work on contemporary Italian cinema, including the film "La scuola cattolica."
-
D.
Luca Avagliano
Luca Avagliano is an Italian actor known for his role in the film "La cena di Natale."
-
E.
Luca Trezza
Luca Trezza is an Italian actor known for his role in the film "La cena di Natale."
- 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: Alessio Triple: [Lezhë, historicalName, Alessio]
Generated description
Alessio is the historical Italian name for the Albanian city of Lezhë, known for its medieval heritage and role in regional history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alessio Target entity description: Alessio is the historical Italian name for the Albanian city of Lezhë, known for its medieval heritage and role in regional history.
-
A.
Alessio Vlad
Alessio Vlad is an Italian composer and music supervisor known for his film scores, including his work on the drama "Tea with Mussolini."
-
B.
Luca Ferraro
Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
-
C.
Luca Infascelli
Luca Infascelli is an Italian screenwriter known for his work on contemporary Italian cinema, including the film "La scuola cattolica."
-
D.
Luca Avagliano
Luca Avagliano is an Italian actor known for his role in the film "La cena di Natale."
-
E.
Luca Trezza
Luca Trezza is an Italian actor known for his role in the film "La cena di Natale."
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20ac6e881908524be890be699e7 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e8378f988190916d497b136ffcf1 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e8fc1d6c819083f06debaa3bec24 |
completed | May 16, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e98a594c8190b3a2d9ae7e3af4f7 |
completed | May 16, 2026, 10:02 p.m. |
Created at: April 16, 2026, 12:32 p.m.