Triple
T18780995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paesi tuoi |
E459255
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Talino
Talino is the protagonist of the Italian work "Paesi tuoi," around whom the story’s central events and themes revolve.
|
E1343504
|
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: Talino | Statement: [Paesi tuoi, mainCharacter, Talino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talino Context triple: [Paesi tuoi, mainCharacter, Talino]
-
A.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
-
B.
Talho
Talho is a settlement located within the municipality of Ribeira Brava in Cape Verde.
-
C.
Nachinola
Nachinola is a small village located in the North Goa district of the Indian state of Goa, known for its rural setting and proximity to the region’s coastal and cultural attractions.
-
D.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
E.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
- 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: Talino Triple: [Paesi tuoi, mainCharacter, Talino]
Generated description
Talino is the protagonist of the Italian work "Paesi tuoi," around whom the story’s central events and themes revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Talino Target entity description: Talino is the protagonist of the Italian work "Paesi tuoi," around whom the story’s central events and themes revolve.
-
A.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
-
B.
Talho
Talho is a settlement located within the municipality of Ribeira Brava in Cape Verde.
-
C.
Nachinola
Nachinola is a small village located in the North Goa district of the Indian state of Goa, known for its rural setting and proximity to the region’s coastal and cultural attractions.
-
D.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
E.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933ee89481908b647802961e4519 |
completed | April 20, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0547172c4c81909fc7370aa124c2e1 |
completed | May 14, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a054a54df1c8190981387ca09193459 |
completed | May 14, 2026, 4:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054b1e79588190b5e50215cecb8029 |
completed | May 14, 2026, 4:10 a.m. |
Created at: April 10, 2026, 11:52 a.m.