Triple
T4908371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippe Erlanger |
E109968
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Erlanger |
E109968
|
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: Erlanger | Statement: [Philippe Erlanger, familyName, Erlanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erlanger Context triple: [Philippe Erlanger, familyName, Erlanger]
-
A.
Erlanger
chosen
Erlanger is a surname of French origin most notably associated with historian and diplomat Philippe Erlanger.
-
B.
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.
-
C.
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.
-
D.
Henderson, Kentucky
Henderson, Kentucky is a small city along the Ohio River known for its historic downtown, riverfront parks, and role as a regional hub in western Kentucky.
-
E.
Oakland, Kentucky
Oakland, Kentucky is a small town in Warren County that functions as part of the broader Bowling Green regional community in south-central Kentucky.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e765094819099481f4f2dd7c47d |
completed | March 20, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fe098b081908e17d6d349b76364 |
completed | March 21, 2026, 10:16 a.m. |
Created at: March 20, 2026, 1:29 p.m.