Triple
T21652986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michaela |
E534386
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Michele (feminine)
Michele is a feminine given name, commonly used in English and French, that originates as a variant of the name Michaela.
|
E1495454
|
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: Michele (feminine) | Statement: [Michaela, hasVariant, Michele (feminine)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele (feminine) Context triple: [Michaela, hasVariant, Michele (feminine)]
-
A.
Michela
Michela is a given name, commonly used in Italian- and Portuguese-speaking countries as a feminine form of Michael.
-
B.
Michaëlle
Michaëlle is a feminine given name most notably borne by Michaëlle Jean, the former Governor General of Canada.
-
C.
Chiara Lucia
Chiara Lucia is a feminine given name, typically used in Italian-speaking contexts as a compound form of Chiara and Lucia.
-
D.
Mishael
Mishael is one of the three Hebrew youths in the biblical additions to Daniel who, along with his companions, is miraculously preserved in the fiery furnace.
-
E.
Nicoletta
Nicoletta is an Italian given name commonly used for women, derived from the name Nicola.
- 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: Michele (feminine) Triple: [Michaela, hasVariant, Michele (feminine)]
Generated description
Michele is a feminine given name, commonly used in English and French, that originates as a variant of the name Michaela.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michele (feminine) Target entity description: Michele is a feminine given name, commonly used in English and French, that originates as a variant of the name Michaela.
-
A.
Michela
Michela is a given name, commonly used in Italian- and Portuguese-speaking countries as a feminine form of Michael.
-
B.
Michaëlle
Michaëlle is a feminine given name most notably borne by Michaëlle Jean, the former Governor General of Canada.
-
C.
Chiara Lucia
Chiara Lucia is a feminine given name, typically used in Italian-speaking contexts as a compound form of Chiara and Lucia.
-
D.
Mishael
Mishael is one of the three Hebrew youths in the biblical additions to Daniel who, along with his companions, is miraculously preserved in the fiery furnace.
-
E.
Nicoletta
Nicoletta is an Italian given name commonly used for women, derived from the name Nicola.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591594a08190bf0ddd0a0c0922ba |
completed | April 27, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a15960e348190b944ee34d80cd8a8 |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a16c278188190855335930666cede |
completed | May 17, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a17a2c81481908e229ea58e61843e |
completed | May 17, 2026, 7:31 p.m. |
Created at: April 16, 2026, 6:36 p.m.