Triple
T12279756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Kearny |
E292686
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kearny |
E60961
|
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: Kearny | Statement: [Philip Kearny, familyName, Kearny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kearny Context triple: [Philip Kearny, familyName, Kearny]
-
A.
Kearny, New Jersey
chosen
Kearny, New Jersey is a suburban town in northeastern New Jersey known for its residential neighborhoods, industrial areas, and proximity to Newark and New York City.
-
B.
Hackensack
Hackensack were a Lenape Native American group from the region of present-day northern New Jersey, known for their involvement in early 17th-century conflicts with Dutch colonists.
-
C.
Irvington
Irvington is a historic, tree-lined residential neighborhood in Northeast Portland, Oregon, known for its early 20th-century homes and designated historic district status.
-
D.
Perth Amboy
Perth Amboy is a historic port city in central New Jersey that served as one of the colonial capitals of the Province of New Jersey.
-
E.
Fort Lee
Fort Lee is a major U.S. Army installation in Virginia that has historically served as a key center for logistics, sustainment, and support training.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf1ab8c8190a51f498bfda957d8 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684ce31808190b66bd0ba1d9d2862 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:52 p.m.