Triple
T22574648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Udina |
E544360
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Antonio Udina
Antonio Udina is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
|
E544360
|
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: Antonio Udina | Statement: [Antonio Udina, name, Antonio Udina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antonio Udina Context triple: [Antonio Udina, name, Antonio Udina]
-
A.
Antonio Udina
Antonio Udina, better known as Tuone Udaina, was the last known native speaker of the Dalmatian language, whose death in 1898 marked the extinction of the language.
-
B.
Antonio Passalia
Antonio Passalia is an actor known for his role in the French psychological thriller film "Le Boucher."
-
C.
Antonio Monsellato
Antonio Monsellato is an actor known for his role in the Italian film "La cena di Natale."
-
D.
Giovanni Anzaldo
Giovanni Anzaldo is an Italian actor known for his roles in contemporary Italian cinema and television.
-
E.
Antonio Somma
Antonio Somma was a 19th-century Italian librettist best known for collaborating with Giuseppe Verdi on the opera "Un ballo in maschera."
- 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: Antonio Udina Triple: [Antonio Udina, name, Antonio Udina]
Generated description
Antonio Udina is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antonio Udina Target entity description: Antonio Udina is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
A.
Antonio Udina
chosen
Antonio Udina, better known as Tuone Udaina, was the last known native speaker of the Dalmatian language, whose death in 1898 marked the extinction of the language.
-
B.
Antonio Passalia
Antonio Passalia is an actor known for his role in the French psychological thriller film "Le Boucher."
-
C.
Antonio Monsellato
Antonio Monsellato is an actor known for his role in the Italian film "La cena di Natale."
-
D.
Giovanni Anzaldo
Giovanni Anzaldo is an Italian actor known for his roles in contemporary Italian cinema and television.
-
E.
Antonio Somma
Antonio Somma was a 19th-century Italian librettist best known for collaborating with Giuseppe Verdi on the opera "Un ballo in maschera."
- F. None of above.
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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fec296481908a6101b02e5bedaa |
completed | April 29, 2026, 1:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d7ad7888190b2815c074475d932 |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b3648cb208190b749e343c3d5c88d |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37002120819097bf1f6e56b6afe5 |
completed | May 18, 2026, 3:57 p.m. |
Created at: April 16, 2026, 8:53 p.m.