Triple
T4194390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culbert Olson |
E89110
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Olson |
E310927
|
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: Olson | Statement: [Culbert Olson, familyName, Olson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olson Context triple: [Culbert Olson, familyName, Olson]
-
A.
Olson
chosen
Olson is a surname most prominently associated in entertainment with American actress and comedian Kaitlin Olson.
-
B.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
C.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
D.
Nolen-Swinburne
Nolen-Swinburne is an architectural firm known for its role in designing the modernist Robert C. Weaver Federal Building, headquarters of the U.S. Department of Housing and Urban Development in Washington, D.C.
-
E.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af034406348190a56c21b5c08a6828 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a0b02208190af3a55d38a7a2459 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:46 p.m.