Triple
T15044090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel |
E379176
|
entity |
| Predicate | variantForm |
P4680
|
FINISHED |
| Object |
Noelia
Noelia is a feminine given name, commonly used in Spanish-speaking countries and derived from the name Noel.
|
E1133782
|
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: Noelia | Statement: [Noel, variantForm, Noelia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noelia Context triple: [Noel, variantForm, Noelia]
-
A.
Fabiola
Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
-
B.
Romina
Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
-
C.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
-
D.
Rosana
Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
-
E.
Rosana
Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
- 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: Noelia Triple: [Noel, variantForm, Noelia]
Generated description
Noelia is a feminine given name, commonly used in Spanish-speaking countries and derived from the name Noel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noelia Target entity description: Noelia is a feminine given name, commonly used in Spanish-speaking countries and derived from the name Noel.
-
A.
Fabiola
Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
-
B.
Romina
Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
-
C.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
-
D.
Rosana
Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
-
E.
Rosana
Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fea0791f1c81908dcad401fa3ac245 |
completed | May 9, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea11a35a88190a5ad6f261fd2d9dc |
completed | May 9, 2026, 2:51 a.m. |
Created at: April 10, 2026, 3 a.m.