Triple
T10075561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy Morton |
E213746
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Lake Forest |
E280747
|
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: Lake Forest | Statement: [Joy Morton, placeOfDeath, Lake Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Forest Context triple: [Joy Morton, placeOfDeath, Lake Forest]
-
A.
Lake Forest
Lake Forest is a suburban city in Orange County, California, known for its residential communities, parks, and proximity to major Southern California employment centers.
-
B.
Lake Forest, Illinois
chosen
Lake Forest, Illinois is an affluent North Shore suburb of Chicago known for its historic estates, tree-lined neighborhoods, and prestigious educational institutions.
-
C.
Oak Park
Oak Park is a public recreational park located in Stockton, California, offering green space and outdoor amenities for the local community.
-
D.
Oak Park
Oak Park is a central public park in Bishkek, Kyrgyzstan, known for its tree-lined paths, sculptures, and role as a popular recreational space for residents and visitors.
-
E.
Berwyn
Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd017b8288190a577bd66e4ba66b7 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62d41448190ab65fb9c81d4d673 |
completed | May 2, 2026, 1:03 p.m. |
Created at: March 30, 2026, 8:59 p.m.