Triple
T18685755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles E. Kearney |
E456856
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Kearney |
—
|
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: Kearney | Statement: [Charles E. Kearney, hasFamilyName, Kearney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kearney Context triple: [Charles E. Kearney, hasFamilyName, Kearney]
-
A.
Kearney
chosen
Kearney is a surname of Irish origin borne by various notable individuals across fields such as journalism, politics, and sports.
-
B.
Kearney, Nebraska
Kearney, Nebraska is a mid-sized city in south-central Nebraska known as a regional hub for education, commerce, and transportation along Interstate 80.
-
C.
Kearney, Missouri
Kearney, Missouri is a small suburban city in Clay County best known as the birthplace of outlaw Jesse James and for its proximity to the Kansas City metropolitan area.
-
D.
Nebraska City
Nebraska City is a small southeastern Nebraska city along the Missouri River, best known as a historic river port and the home of Arbor Day.
-
E.
Keystone City
Keystone City is a fictional American city in DC Comics, best known as one of the primary home cities of the superhero The Flash.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2c58188190b906c9ab080a76ff |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.