Triple
T20347275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossum |
E495903
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Van Rossum |
—
|
NE NERFINISHED |
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: Van Rossum | Statement: [Rossum, hasVariant, Van Rossum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Van Rossum Context triple: [Rossum, hasVariant, Van Rossum]
-
A.
Johannes van Rossum
Johannes van Rossum was a Dutch coachman and later companion closely associated with Princess Marianne of the Netherlands, with whom he had a long-term, controversial relationship.
-
B.
Guido van Rossum
chosen
Guido van Rossum is a Dutch programmer best known as the creator of the Python programming language.
-
C.
Lambert Meertens
Lambert Meertens is a Dutch computer scientist known for his influential work in programming language design and formal methods.
-
D.
Greg Ewing
Greg Ewing is a computer scientist and software developer best known for creating Pyrex, an early language for writing Python C extensions more easily.
-
E.
Sigismund Dijkstra
Sigismund Dijkstra is a shrewd and influential spymaster and political operator from Andrzej Sapkowski’s Witcher universe, known for his intelligence, manipulation, and role in the power struggles of the Northern Kingdoms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67839e7b48190876ce7133a20c65b |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.