Triple
T9570640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon Pioneer |
E230903
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Ulric Ellerhusen |
E806907
|
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: Ulric Ellerhusen | Statement: [Oregon Pioneer, artist, Ulric Ellerhusen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulric Ellerhusen Context triple: [Oregon Pioneer, artist, Ulric Ellerhusen]
-
A.
Ulric Ellerhusen
chosen
Ulric Ellerhusen was a German-American sculptor known for his architectural sculpture and public monuments in the early 20th century United States.
-
B.
Jake Hoyt
Jake Hoyt is a rookie LAPD narcotics officer whose moral integrity is tested during a tumultuous day under a corrupt veteran detective in the film "Training Day."
-
C.
Harry Brooks
Harry Brooks was an American jazz pianist and composer best known for co-writing classic standards of the 1920s and 1930s.
-
D.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
E.
Harvey Fisk
Harvey Fisk was a prominent 19th-century American banker and bond dealer known for his role in financing the U.S. government during and after the Civil War.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998ab5948190be78db4eed7825a0 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1614f33108190901e3037654c50ab |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 8:04 p.m.