Triple
T21174625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolf Nevanlinna |
E521777
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Lars Ahlfors |
—
|
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: Lars Ahlfors | Statement: [Rolf Nevanlinna, notableStudent, Lars Ahlfors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lars Ahlfors Context triple: [Rolf Nevanlinna, notableStudent, Lars Ahlfors]
-
A.
Lars Ahlfors
chosen
Lars Ahlfors was a Finnish mathematician renowned for his foundational work in complex analysis and as one of the first recipients of the Fields Medal.
-
B.
Rolf Nevanlinna
Rolf Nevanlinna was a Finnish mathematician best known for founding value distribution theory (Nevanlinna theory) in complex analysis.
-
C.
Lennart Carleson
Lennart Carleson is a Swedish mathematician renowned for his groundbreaking work in harmonic analysis and for solving the Lusin conjecture, earning him the Wolf Prize in Mathematics.
-
D.
Ivar Fredholm
Ivar Fredholm was a Swedish mathematician best known for his foundational work on integral equations, which played a key role in the development of functional analysis.
-
E.
Paul Koebe
Paul Koebe was a German mathematician known for his foundational contributions to complex analysis, particularly in the development of uniformization and conformal mapping theory.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72714d3f48190871c5e35c3887d7f |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.