Triple
T1183012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcangelo Corelli |
E25181
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Arcangelo
Arcangelo is an Italian given name most famously borne by the Baroque composer and violinist Arcangelo Corelli.
|
E34007
|
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: Arcangelo | Statement: [Arcangelo Corelli, givenName, Arcangelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arcangelo Context triple: [Arcangelo Corelli, givenName, Arcangelo]
-
A.
Angelo
Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
-
B.
Archangel
Archangel is a historic Russian port city on the White Sea that served as a major northern gateway for European trade before the rise of St. Petersburg.
-
C.
Salvator
Salvator is the Latin term traditionally used in Christian theology and liturgy to refer to Jesus Christ as the Savior.
-
D.
Silvestri
Silvestri is a surname most prominently associated with American composer Alan Silvestri, known for his iconic film scores such as those for the "Back to the Future" and "Avengers" franchises.
-
E.
Annabella
Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
- 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: Arcangelo Triple: [Arcangelo Corelli, givenName, Arcangelo]
Generated description
Arcangelo is an Italian given name most famously borne by the Baroque composer and violinist Arcangelo Corelli.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arcangelo Target entity description: Arcangelo is an Italian given name most famously borne by the Baroque composer and violinist Arcangelo Corelli.
-
A.
Angelo
chosen
Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
-
B.
Archangel
Archangel is a historic Russian port city on the White Sea that served as a major northern gateway for European trade before the rise of St. Petersburg.
-
C.
Salvator
Salvator is the Latin term traditionally used in Christian theology and liturgy to refer to Jesus Christ as the Savior.
-
D.
Silvestri
Silvestri is a surname most prominently associated with American composer Alan Silvestri, known for his iconic film scores such as those for the "Back to the Future" and "Avengers" franchises.
-
E.
Annabella
Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd35fb888190adf1e5d0615fa725 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f21547c81909cf23c454436e839 |
completed | March 7, 2026, 6:32 p.m. |
| NEDg | Description generation | batch_69ac6fc5442c8190a5d824881f05d468 |
completed | March 7, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac7026dda48190a72f671dba9ac17b |
completed | March 7, 2026, 6:36 p.m. |
Created at: March 1, 2026, 7:45 p.m.