Triple
T3342730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Name Is Earl |
E70295
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Camden County |
E136354
|
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: Camden County | Statement: [My Name Is Earl, setting, Camden County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camden County Context triple: [My Name Is Earl, setting, Camden County]
-
A.
Camden County
chosen
Camden County is a populous county in southwestern New Jersey, anchored by the city of Camden and forming part of the greater Philadelphia metropolitan area.
-
B.
Cumberland County
Cumberland County is a largely rural county in southern New Jersey known for its agriculture, wetlands, and Delaware Bay shoreline.
-
C.
Cumberland County
Cumberland County is a coastal county in southern Maine that includes the city of Portland and serves as the state’s most populous and economically significant region.
-
D.
Johnston County
Johnston County is a county in central North Carolina that forms part of the greater Raleigh–Durham–Chapel Hill Research Triangle region.
-
E.
Sampson County
Sampson County is a largely rural county in eastern North Carolina known for its extensive agricultural production and small-town communities.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f06f8c8190a6b7c56ac3f5ff07 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bb0cd188190b07ef54365e00afe |
completed | March 13, 2026, 3:59 a.m. |
Created at: March 8, 2026, 3:12 p.m.