Triple
T94540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guido van Rossum |
E1899
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kim Knapp
Kim Knapp is known as the spouse of Guido van Rossum, the creator of the Python programming language.
|
E55827
|
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: Kim Knapp | Statement: [Guido van Rossum, spouse, Kim Knapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Knapp Context triple: [Guido van Rossum, spouse, Kim Knapp]
-
A.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
-
B.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
C.
Joyce King
Joyce King is a personal name shared by multiple individuals, including professionals in fields such as academia, law, and the arts.
-
D.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
E.
Alicia Nash
Alicia Nash was a Salvadoran-American physicist and mental health advocate best known as the devoted wife of mathematician John Nash, whose life with him was portrayed in the film "A Beautiful Mind."
- 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: Kim Knapp Triple: [Guido van Rossum, spouse, Kim Knapp]
Generated description
Kim Knapp is known as the spouse of Guido van Rossum, the creator of the Python programming language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Knapp Target entity description: Kim Knapp is known as the spouse of Guido van Rossum, the creator of the Python programming language.
-
A.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
-
B.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
C.
Joyce King
Joyce King is a personal name shared by multiple individuals, including professionals in fields such as academia, law, and the arts.
-
D.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
E.
Alicia Nash
Alicia Nash was a Salvadoran-American physicist and mental health advocate best known as the devoted wife of mathematician John Nash, whose life with him was portrayed in the film "A Beautiful Mind."
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd4777c81909ea9b9a6bd4f7ad5 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43e6744888190b4514f057fc98498 |
completed | March 1, 2026, 1:25 p.m. |
| NEDg | Description generation | batch_69a43ffa92e88190a40155190dbf8b9c |
completed | March 1, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a44046b4cc819085012cce79176fc6 |
completed | March 1, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 2:09 a.m.