Triple
T2260925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romina Power |
E50036
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Acqua di mare
"Acqua di mare" is a song performed by Italian-American singer and actress Romina Power, known from her successful musical partnership with Al Bano.
|
E249258
|
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: Acqua di mare | Statement: [Romina Power, notableWork, Acqua di mare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acqua di mare Context triple: [Romina Power, notableWork, Acqua di mare]
-
A.
Savunese waters
Savunese waters are the maritime area surrounding Savu Island in eastern Indonesia, known for their rich marine biodiversity and role in local fishing and seafaring.
-
B.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
C.
Oceano
Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
-
D.
Landwasser
Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
-
E.
The Sea
The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
- 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: Acqua di mare Triple: [Romina Power, notableWork, Acqua di mare]
Generated description
"Acqua di mare" is a song performed by Italian-American singer and actress Romina Power, known from her successful musical partnership with Al Bano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Acqua di mare Target entity description: "Acqua di mare" is a song performed by Italian-American singer and actress Romina Power, known from her successful musical partnership with Al Bano.
-
A.
Savunese waters
Savunese waters are the maritime area surrounding Savu Island in eastern Indonesia, known for their rich marine biodiversity and role in local fishing and seafaring.
-
B.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
C.
Oceano
Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
-
D.
Landwasser
Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
-
E.
The Sea
The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18aa9d48190893ca32558730e9c |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cb1540819093db7f91ae66c19f |
completed | March 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69ae72a2b92c8190a7d4ff441f1cb1ce |
completed | March 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae732a7cf08190b119ca7809350269 |
completed | March 9, 2026, 7:13 a.m. |
Created at: March 4, 2026, 7:48 p.m.