Triple
T2260917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romina Power |
E50036
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sharazan
"Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
|
E249250
|
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: Sharazan | Statement: [Romina Power, notableWork, Sharazan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharazan Context triple: [Romina Power, notableWork, Sharazan]
-
A.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
B.
Aezani
Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
-
C.
Ashkun
Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
-
D.
Dinarzad
Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
-
E.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
- 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: Sharazan Triple: [Romina Power, notableWork, Sharazan]
Generated description
"Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharazan Target entity description: "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
-
A.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
B.
Aezani
Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
-
C.
Ashkun
Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
-
D.
Dinarzad
Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
-
E.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
- 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.