Triple
T20015103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanza |
E494695
|
entity |
| Predicate | containsSong |
P20452
|
FINISHED |
| Object |
Vivere
"Vivere" is a popular Italian song best known for Andrea Bocelli’s rendition, celebrating the joy and passion of living.
|
E1407428
|
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: Vivere | Statement: [Romanza, containsSong, Vivere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivere Context triple: [Romanza, containsSong, Vivere]
-
A.
Vivir
"Vivir" is a popular Latin pop ballad by Spanish singer Ricky Martin, known for its emotive lyrics and powerful vocal performance.
-
B.
Vivre
"Vivre" is a powerful ballad from the 1998 French musical adaptation of Notre-Dame de Paris, known for its emotional intensity and soaring vocals.
-
C.
Dapertutto
Dapertutto is a sinister, demonic figure who appears as one of the main antagonists in E.T.A. Hoffmann’s fantastical tales, often embodying temptation and malevolent supernatural influence.
-
D.
Viva
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
-
E.
Viva
Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
- 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: Vivere Triple: [Romanza, containsSong, Vivere]
Generated description
"Vivere" is a popular Italian song best known for Andrea Bocelli’s rendition, celebrating the joy and passion of living.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vivere Target entity description: "Vivere" is a popular Italian song best known for Andrea Bocelli’s rendition, celebrating the joy and passion of living.
-
A.
Vivir
"Vivir" is a popular Latin pop ballad by Spanish singer Ricky Martin, known for its emotive lyrics and powerful vocal performance.
-
B.
Vivre
"Vivre" is a powerful ballad from the 1998 French musical adaptation of Notre-Dame de Paris, known for its emotional intensity and soaring vocals.
-
C.
Dapertutto
Dapertutto is a sinister, demonic figure who appears as one of the main antagonists in E.T.A. Hoffmann’s fantastical tales, often embodying temptation and malevolent supernatural influence.
-
D.
Viva
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
-
E.
Viva
Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623bba1881908440c92f08729ec1 |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e233bf48190bb285e6a6f18915f |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080f393dc0819093fec526d1b51dac |
completed | May 16, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810234a788190b329c55e553b365e |
completed | May 16, 2026, 6:35 a.m. |
Created at: April 11, 2026, 3:34 p.m.