Triple
T6227701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcelo Zarvos |
E139275
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Good Nurse |
E262326
|
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: The Good Nurse | Statement: [Marcelo Zarvos, notableWork, The Good Nurse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Good Nurse Context triple: [Marcelo Zarvos, notableWork, The Good Nurse]
-
A.
The Good Nurse
chosen
The Good Nurse is a 2022 crime drama film based on true events, following a compassionate nurse who helps expose a fellow nurse suspected of being a serial killer.
-
B.
Ratched
Ratched is a psychological thriller drama television series that serves as a prequel to "One Flew Over the Cuckoo’s Nest," exploring the origins of the infamous nurse Mildred Ratched.
-
C.
Dirty John
Dirty John is a true-crime television series and podcast-based drama that chronicles a manipulative con man’s abusive relationships and their devastating consequences.
-
D.
The Guilty
The Guilty is a British crime drama television series in which Katherine Kelly stars as a detective investigating the disappearance of a young boy.
-
E.
I Care a Lot
I Care a Lot is a dark comedy thriller film about a corrupt legal guardian who exploits elderly clients for profit until she targets the wrong victim.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d686b88190a0e7e38ab52e2d4a |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dda7f80819085c0d6501a54f931 |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:22 p.m.