Triple
T5864079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danger Mouse |
E130343
|
entity |
| Predicate | producedAlbum |
P60230
|
FINISHED |
| Object | St. Elsewhere |
E66963
|
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: St. Elsewhere | Statement: [Danger Mouse, producedAlbum, St. Elsewhere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Elsewhere Context triple: [Danger Mouse, producedAlbum, St. Elsewhere]
-
A.
St. Elsewhere
chosen
St. Elsewhere is an acclaimed 1980s American medical drama television series known for its ensemble cast, gritty realism, and influential storytelling.
-
B.
Chicago Hope
Chicago Hope is an American medical drama television series set in a fictional Chicago hospital, known for its ensemble cast and focus on complex ethical and personal issues in medicine.
-
C.
Scrubs
Scrubs is an American medical comedy-drama television series that follows the personal and professional lives of staff at the fictional Sacred Heart Hospital, blending humor with emotional storytelling.
-
D.
Mercy Street
"Mercy Street" is a haunting, atmospheric song by Peter Gabriel inspired by the life and poetry of Anne Sexton.
-
E.
Mercy Street
Mercy Street is a historical drama television series set in a Civil War-era hospital, exploring the lives of doctors, nurses, and patients on both sides of the conflict.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035bdd698819089ffe5256df492aa |
completed | March 22, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b10b55a88190b525405b1e20ea77 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:56 p.m.