Triple
T12943159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doctor (A Streetcar Named Desire) |
E309687
|
entity |
| Predicate | relationshipToNurse |
P60573
|
FINISHED |
| Object | arrives with a matronly nurse to collect Blanche |
—
|
LITERAL 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: arrives with a matronly nurse to collect Blanche | Statement: [The Doctor (A Streetcar Named Desire), relationshipToNurse, arrives with a matronly nurse to collect Blanche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToNurse Context triple: [The Doctor (A Streetcar Named Desire), relationshipToNurse, arrives with a matronly nurse to collect Blanche]
-
A.
relationshipToDoctor
Indicates the specific personal or professional connection an individual has with a doctor (e.g., self, spouse, parent, guardian, colleague).
-
B.
patientRelationship
Indicates that one entity is the patient or recipient of an action, treatment, or service performed by another entity.
-
C.
hasNurse
chosen
Indicates that an entity is assigned or associated with a nurse who provides care or medical support to it.
-
D.
relationshipToMother
Indicates the specific familial or social connection an entity has to its mother.
-
E.
caregiverOf
Indicates a relationship where one entity provides ongoing care, support, or supervision for another entity’s well-being.
- F. None of above.
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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.