Triple
T8946965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pietro Maximoff |
E213243
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Magda
Magda is a Marvel Comics character best known as the human wife of Magneto and the mother of the mutant twins Quicksilver and Scarlet Witch.
|
E200104
|
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: Magda | Statement: [Pietro Maximoff, parent, Magda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magda Context triple: [Pietro Maximoff, parent, Magda]
-
A.
Magda
Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
-
B.
Marta
Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
-
C.
Marta
Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
-
D.
Marta
Marta is a small Italian town in the Lazio region, situated on the southern shore of Lake Bolsena and known for its lakeside scenery and historic center.
-
E.
Dagmara
Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
- 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: Magda Triple: [Pietro Maximoff, parent, Magda]
Generated description
Magda is a Marvel Comics character best known as the human wife of Magneto and the mother of the mutant twins Quicksilver and Scarlet Witch.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magda Target entity description: Magda is a Marvel Comics character best known as the human wife of Magneto and the mother of the mutant twins Quicksilver and Scarlet Witch.
-
A.
Magda
chosen
Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
-
B.
Marta
Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
-
C.
Marta
Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
-
D.
Marta
Marta is a small Italian town in the Lazio region, situated on the southern shore of Lake Bolsena and known for its lakeside scenery and historic center.
-
E.
Dagmara
Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66deb8ec819087a9c5eddd24c08a |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc2022e30819089ba08f494a3a66f |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc27bae88819094bcfdf10e89018b |
completed | April 3, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc61d26fc8190817b430cb6fa9646 |
completed | April 3, 2026, 1:52 p.m. |
Created at: March 30, 2026, 6:59 p.m.