Triple
T2481547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guido van Rossum |
E55827
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kim Knapp |
E55827
|
NE FINISHED |
How this triple was built (2 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.
Kim Knapp
chosen
Kim Knapp is known as the spouse of Guido van Rossum, the creator of the Python programming language.
-
B.
Kim Parker
Kim Parker is a comedic, outspoken teenage character from the sitcom "Moesha," later becoming a central figure in its spin-off series "The Parkers."
-
C.
Kim Keever
Kim Keever is an American artist and photographer known for his large-scale, otherworldly landscape images created by photographing paint and materials suspended in water.
-
D.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
-
E.
Barrie Chase
Barrie Chase is an American actress and dancer best known for her work in 1950s–60s Hollywood films and television, including frequent collaborations with Fred Astaire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd161bf3c8190834502968180e9cf |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17b48d0881909442717d318a6f05 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:45 p.m.