Triple
T21063856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigurd F. Olson |
E518916
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Olson |
—
|
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: Olson | Statement: [Sigurd F. Olson, familyName, Olson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olson Context triple: [Sigurd F. Olson, familyName, Olson]
-
A.
Olson
chosen
Olson is a surname most prominently associated in entertainment with American actress and comedian Kaitlin Olson.
-
B.
Oleson
Oleson is the surname of the fictional character Nellie Oleson from the "Little House on the Prairie" book and television series.
-
C.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
D.
Poulson
Poulson is the codename for a later-generation Intel Itanium processor microarchitecture designed to improve performance and efficiency in enterprise and mission-critical servers.
-
E.
Oursler
Oursler is the surname of Tony Oursler, an American multimedia and installation artist known for his innovative video projections and sculptural works.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb29e388190a80fa969a4daa606 |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:42 p.m.