Triple
T20622907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Static Age |
E506745
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | TV Casualty |
—
|
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: TV Casualty | Statement: [Static Age, hasTrack, TV Casualty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV Casualty Context triple: [Static Age, hasTrack, TV Casualty]
-
A.
Casualty
chosen
Casualty is a long-running British medical drama television series centered on the staff and patients of a hospital emergency department.
-
B.
Holby City
Holby City is a long-running British medical drama television series set in a fictional hospital, focusing on the professional and personal lives of its staff.
-
C.
TV Action
TV Action was a British weekly comic magazine known for publishing adventure and science fiction strips based on popular television series.
-
D.
Casualty–Holby franchise
The Casualty–Holby franchise is a British television drama universe centered on interconnected medical series, most notably the long-running shows Casualty and its spin-off Holby City.
-
E.
Casualty 1909
Casualty 1909 is a British period medical drama series set in early 20th-century London, focusing on the lives and work of hospital staff and patients.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3177c8190ad1b2ca8b1e0a560 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.