Triple
T20173034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miquela |
E492016
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Michela
Michela is a given name, commonly used in Italian- and Portuguese-speaking countries as a feminine form of Michael.
|
E1416017
|
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: Michela | Statement: [Miquela, relatedName, Michela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michela Context triple: [Miquela, relatedName, Michela]
-
A.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
-
B.
Alessandra
Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
-
C.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
D.
Paola
Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
-
E.
Paola
Paola is a feminine given name of Latin origin commonly used in Spanish- and Italian-speaking countries.
- 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: Michela Triple: [Miquela, relatedName, Michela]
Generated description
Michela is a given name, commonly used in Italian- and Portuguese-speaking countries as a feminine form of Michael.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michela Target entity description: Michela is a given name, commonly used in Italian- and Portuguese-speaking countries as a feminine form of Michael.
-
A.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
-
B.
Alessandra
Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
-
C.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
D.
Paola
Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
-
E.
Paola
Paola is a feminine given name of Latin origin commonly used in Spanish- and Italian-speaking countries.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66849709c81909b65b421282f9f3b |
completed | April 20, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c74d970819085ae9ad5e0aaaf8f |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d5360cc8190b5c3e2df33b6ef2b |
completed | May 16, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083dce8b8881908c26f6fe5ba8a8cc |
completed | May 16, 2026, 9:50 a.m. |
Created at: April 11, 2026, 11:35 p.m.