Triple
T7789731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gianna |
E187345
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Giana
Giana is a feminine given name, typically considered a variant of Gianna, with Italian origins and the meaning "God is gracious."
|
E195715
|
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: Giana | Statement: [Gianna, hasVariantSpelling, Giana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giana Context triple: [Gianna, hasVariantSpelling, Giana]
-
A.
Lucina
Lucina is a woman known primarily as the mother of the Western Roman Emperor Anthemius.
-
B.
Lucina
Lucina is a central protagonist and time-traveling princess from the Fire Emblem series, best known for her masked identity "Marth" and pivotal role in Fire Emblem Awakening.
-
C.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
D.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
-
E.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
- 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: Giana Triple: [Gianna, hasVariantSpelling, Giana]
Generated description
Giana is a feminine given name, typically considered a variant of Gianna, with Italian origins and the meaning "God is gracious."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Giana Target entity description: Giana is a feminine given name, typically considered a variant of Gianna, with Italian origins and the meaning "God is gracious."
-
A.
Lucina
Lucina is a woman known primarily as the mother of the Western Roman Emperor Anthemius.
-
B.
Lucina
Lucina is a central protagonist and time-traveling princess from the Fire Emblem series, best known for her masked identity "Marth" and pivotal role in Fire Emblem Awakening.
-
C.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
D.
Marisa
chosen
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
-
E.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
- F. None of above.
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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf62c8568819090c058b0c55b7865 |
completed | March 30, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69caf820b05481908b405048c077ca2e |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa052d4481908b89f6001aa6ea01 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:25 p.m.