Triple
T20155052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Waters |
E491537
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Young Doctors |
—
|
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 Young Doctors | Statement: [John Waters, notableWork, The Young Doctors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Young Doctors Context triple: [John Waters, notableWork, The Young Doctors]
-
A.
The Young Doctors
The Young Doctors is an Australian television soap opera set in a fictional hospital, focusing on the professional and personal lives of its medical staff.
-
B.
The Young Doctors
chosen
The Young Doctors is a 1961 American medical drama film that follows the professional and ethical conflicts within a hospital staff.
-
C.
Doctores
Doctores is a Mexico City Metro station on Line 8 serving the Doctores neighborhood near the city center.
-
D.
The Little Bald Doctors
The Little Bald Doctors are a recurring group of eerie, childlike figures in Neil Gaiman’s Sandman universe, known for their unsettling presence and association with dreams and nightmares.
-
E.
La Dotta
La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667df7ac081908816d2d29e7c6513 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.