Triple
T2296875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanda Wasilewska |
E51636
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Wanda
Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
|
E253732
|
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: Wanda | Statement: [Wanda Wasilewska, givenName, Wanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanda Context triple: [Wanda Wasilewska, givenName, Wanda]
-
A.
Scarlet Witch
Scarlet Witch is a powerful Marvel Comics superhero and Avenger, known for her reality-warping chaos magic and complex moral journey.
-
B.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
C.
Miss Quill
Miss Quill is a sharp-tongued, battle-hardened alien freedom fighter and teacher from the Doctor Who spin-off series "Class."
-
D.
Magda
Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
-
E.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
- 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: Wanda Triple: [Wanda Wasilewska, givenName, Wanda]
Generated description
Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wanda Target entity description: Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
-
A.
Scarlet Witch
Scarlet Witch is a powerful Marvel Comics superhero and Avenger, known for her reality-warping chaos magic and complex moral journey.
-
B.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
C.
Miss Quill
Miss Quill is a sharp-tongued, battle-hardened alien freedom fighter and teacher from the Doctor Who spin-off series "Class."
-
D.
Magda
Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
-
E.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ddf00081909acb47cbd9a5f20e |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f28db6c81909dbe55c704307da6 |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae7fd6e8608190b48f3a50ee62d664 |
completed | March 9, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae804b402c81909a5fc68c6ee3decb |
completed | March 9, 2026, 8:09 a.m. |
Created at: March 4, 2026, 7:49 p.m.