Triple
T20253761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Lee |
E498626
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | The Clinic |
—
|
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: The Clinic | Statement: [Mark Lee, hasWork, The Clinic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Clinic Context triple: [Mark Lee, hasWork, The Clinic]
-
A.
The Clinic
The Clinic is an Australian television drama series noted for its involvement of costume designer Lizzy Gardiner.
-
B.
The Clinic
chosen
The Clinic is an Irish medical drama television series that follows the personal and professional lives of staff at a busy Dublin health clinic.
-
C.
The Clinic
The Clinic is a film associated with cult filmmaker John Waters, known for his transgressive, darkly comic style.
-
D.
The Hospital
The Hospital is a 1971 satirical drama film that critiques the American medical system, starring George C. Scott as a beleaguered chief of medicine.
-
E.
The Agnew Clinic
The Agnew Clinic is a renowned 1889 realist painting by American artist Thomas Eakins depicting Dr. David Hayes Agnew performing surgery before medical students.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673aa42348190852ae8313f4494ca |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.