Triple
T17111661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Glessner |
E415240
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Glessner |
E1251114
|
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: Glessner | Statement: [Frances Glessner, familyName, Glessner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glessner Context triple: [Frances Glessner, familyName, Glessner]
-
A.
Glessner
chosen
Glessner is a surname most notably associated with American industrialist John J. Glessner, a prominent figure of Chicago’s Gilded Age.
-
B.
Crest Hill
Crest Hill is a suburban city in northeastern Illinois, located near Joliet within the Chicago metropolitan area.
-
C.
Grandview
Grandview is a city in Texas known for its small-town character and proximity to recreational areas like Meadowmere Park.
-
D.
Grandview
Grandview is the fictional small-town setting of the supernatural drama series "Ghost Whisperer," where the protagonist communicates with spirits to resolve their unfinished business.
-
E.
Sharswood
Sharswood is a residential neighborhood in North Philadelphia known for its ongoing redevelopment and proximity to areas like Brewerytown and Girard College.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2bab0881908339ec7fb3ebe7e9 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014145f7988190803d5c5e4f2705b0 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:35 a.m.