Triple
T287844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander |
E5923
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object |
Alessandro
Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
|
E39242
|
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: Alessandro | Statement: [Alexander, variant, Alessandro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alessandro Context triple: [Alexander, variant, Alessandro]
-
A.
Pietro
Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
-
B.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
C.
Andreas
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
-
D.
Benito
Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
-
E.
Louis Appia
Louis Appia was a 19th-century Swiss surgeon and humanitarian pioneer who helped establish the principles and institutions that became the modern Red Cross movement.
- 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: Alessandro Triple: [Alexander, variant, Alessandro]
Generated description
Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alessandro Target entity description: Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
-
A.
Pietro
Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
-
B.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
C.
Andreas
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
-
D.
Benito
Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
-
E.
Louis Appia
Louis Appia was a 19th-century Swiss surgeon and humanitarian pioneer who helped establish the principles and institutions that became the modern Red Cross movement.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2ddaa88190b08c40b5823f30a0 |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b07024a4819082cfc9a897b84206 |
completed | March 1, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69a3b17a6ef88190a2c74c070b396e6f |
completed | March 1, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3b1d6b7b481909bedb259db8184e4 |
completed | March 1, 2026, 3:26 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.