Triple
T19491440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham L. Erlanger |
E487660
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Erlanger |
—
|
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: Erlanger | Statement: [Abraham L. Erlanger, familyName, Erlanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erlanger Context triple: [Abraham L. Erlanger, familyName, Erlanger]
-
A.
Erlanger
chosen
Erlanger is a surname of French origin most notably associated with historian and diplomat Philippe Erlanger.
-
B.
Erlanger, Kentucky
Erlanger, Kentucky is a suburban city in the Cincinnati metropolitan area known for its residential communities and proximity to major transportation routes in Northern Kentucky.
-
C.
Calvert City, Kentucky
Calvert City, Kentucky is a small industrial city in western Kentucky known for its chemical manufacturing plants and location near Kentucky Lake.
-
D.
Paducah
Paducah is a small riverfront city in western Kentucky known for its vibrant arts scene, historic downtown, and role as a regional cultural hub.
-
E.
Shelbyville
Shelbyville is a small city in central Indiana that functions as a local commercial and residential hub within the greater Indianapolis region.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348e01b88190a513d0e256161fcd |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.