Triple
T511495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Ann Delano |
E10618
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Delano |
E123
|
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: Delano | Statement: [Sara Ann Delano, familyName, Delano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delano Context triple: [Sara Ann Delano, familyName, Delano]
-
A.
Delano
chosen
Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
-
B.
Lombard, Illinois
Lombard, Illinois is a suburban village in the Chicago metropolitan area known for its historic Lilac Festival and residential character.
-
C.
Aurora, Illinois
Aurora, Illinois is a major city in the Chicago metropolitan area known for its historic downtown, diverse population, and role as a regional economic and cultural center.
-
D.
Oakton
Oakton is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods, good schools, and proximity to Washington, D.C.
-
E.
Waukegan, Illinois
Waukegan, Illinois is an industrial port city on Lake Michigan in Lake County that serves as a northern suburb within the greater Chicago metropolitan area.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f16768c081909d05537ff070868b |
completed | Feb. 28, 2026, 1:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5154d3a70819097de31be3b753523 |
completed | March 2, 2026, 4:42 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.