Triple
T17977241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenna Elfman |
E449505
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | 1600 Penn |
—
|
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: 1600 Penn | Statement: [Jenna Elfman, notableWork, 1600 Penn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1600 Penn Context triple: [Jenna Elfman, notableWork, 1600 Penn]
-
A.
1600 Penn
chosen
1600 Penn is an American television sitcom set in the White House that follows a dysfunctional First Family and their comedic misadventures.
-
B.
Bailey Quarters
Bailey Quarters is a shy but intelligent and ambitious radio station employee from the sitcom "WKRP in Cincinnati," known for evolving from a timid assistant into a confident broadcast journalist.
-
C.
The Mint
The Mint is a posthumously published autobiographical work by T. E. Lawrence that candidly chronicles his experiences and observations while serving as an enlisted airman in the Royal Air Force.
-
D.
River Mint
River Mint is a small river in Cumbria, England, known for flowing through the countryside near Kendal before joining the River Kent.
-
E.
Penn Quarter
Penn Quarter is a vibrant mixed-use neighborhood in central Washington, D.C., known for its museums, theaters, restaurants, and proximity to major civic and cultural landmarks.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20010c8819088c022565183a7ff |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.