Triple
T18026605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Territory of Colorado |
E431267
|
entity |
| Predicate | notableGovernor |
P5756
|
FINISHED |
| Object | John Evans |
—
|
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: John Evans | Statement: [Territory of Colorado, notableGovernor, John Evans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Evans Context triple: [Territory of Colorado, notableGovernor, John Evans]
-
A.
John Evans
John Evans is a mountaineer best known as one of the first climbers to reach the summit of Vinson Massif, the highest peak in Antarctica.
-
B.
John Evans
chosen
John Evans was a 19th-century American physician, politician, and railroad developer who served as governor of the Colorado Territory and played a key role in the founding of Northwestern University.
-
C.
John Evans
John Evans was an American statesman who represented South Carolina in the Continental Congress during the Revolutionary era.
-
D.
Ian Megibben
Ian Megibben is a cinematographer best known for his work on the animated film "Finding Dory."
-
E.
Ian Megibben
Ian Megibben is a cinematographer best known for his work on the animated feature film "Lightyear."
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c6a4208190846ed28681ba7daa |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.