Triple
T4408193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malvina Stone Arthur |
E94784
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Malvina
Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
|
E437989
|
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: Malvina | Statement: [Malvina Stone Arthur, givenName, Malvina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvina Context triple: [Malvina Stone Arthur, givenName, Malvina]
-
A.
Masha
Masha is a diminutive and affectionate Russian form of the given name Mary (Maria).
-
B.
Dora Baltea
Dora Baltea is a major river in northwestern Italy that flows from the Alps through the Aosta Valley and Piedmont before joining the Po River.
-
C.
Rothbart
Rothbart is the dark sorcerer and primary antagonist in the ballet "Swan Lake," responsible for cursing Odette and driving the central conflict of the story.
-
D.
Misha
Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
-
E.
Geronimi
Geronimi is an Italian-origin surname most notably associated with Clyde Geronimi, a prominent animator and director for Walt Disney Studios.
- 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: Malvina Triple: [Malvina Stone Arthur, givenName, Malvina]
Generated description
Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malvina Target entity description: Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
-
A.
Masha
Masha is a diminutive and affectionate Russian form of the given name Mary (Maria).
-
B.
Dora Baltea
Dora Baltea is a major river in northwestern Italy that flows from the Alps through the Aosta Valley and Piedmont before joining the Po River.
-
C.
Rothbart
Rothbart is the dark sorcerer and primary antagonist in the ballet "Swan Lake," responsible for cursing Odette and driving the central conflict of the story.
-
D.
Misha
Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
-
E.
Geronimi
Geronimi is an Italian-origin surname most notably associated with Clyde Geronimi, a prominent animator and director for Walt Disney Studios.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3548cb92881908a3f98466da8e0a2 |
completed | March 13, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f609f7f881909d12735f4028a108 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f689da008190ae5bd42af1f95bfa |
completed | March 15, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_69b5f72f5dac819081f98d835c467aca |
completed | March 15, 2026, 12:02 a.m. |
Created at: March 12, 2026, 11:28 p.m.