Triple
T14714573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tania |
E345642
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Tánia
Tánia is a feminine given name, commonly used in Portuguese- and Spanish-speaking countries as a variant of Tania or Tanya.
|
E1116465
|
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: Tánia | Statement: [Tania, hasSpellingVariant, Tánia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tánia Context triple: [Tania, hasSpellingVariant, Tánia]
-
A.
Tamási
Tamási is a small town in Hungary known for its thermal baths and location within the Tolna County region.
-
B.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
C.
Túr
Túr is a river in Central Europe that flows through parts of Romania and Hungary before joining the Bodrog River.
-
D.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
E.
Taurt
Taurt is an alternate name for Taweret, the ancient Egyptian hippopotamus goddess associated with childbirth, fertility, and protection.
- 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: Tánia Triple: [Tania, hasSpellingVariant, Tánia]
Generated description
Tánia is a feminine given name, commonly used in Portuguese- and Spanish-speaking countries as a variant of Tania or Tanya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tánia Target entity description: Tánia is a feminine given name, commonly used in Portuguese- and Spanish-speaking countries as a variant of Tania or Tanya.
-
A.
Tamási
Tamási is a small town in Hungary known for its thermal baths and location within the Tolna County region.
-
B.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
C.
Túr
Túr is a river in Central Europe that flows through parts of Romania and Hungary before joining the Bodrog River.
-
D.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
E.
Taurt
Taurt is an alternate name for Taweret, the ancient Egyptian hippopotamus goddess associated with childbirth, fertility, and protection.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0913d6c8190886df4cd0a92aa80 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf3f89f088190ab745bddcc99a36c |
completed | May 8, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf47f265c8190a5494dcc7baf00fa |
completed | May 8, 2026, 2:34 p.m. |
Created at: April 10, 2026, 1:29 a.m.