Triple
T33510574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Nurse |
E858229
|
entity |
| Predicate | relationshipToInstitution |
P151288
|
FINISHED |
| Object | agent of the mental health system |
—
|
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: agent of the mental health system | Statement: [Big Nurse, relationshipToInstitution, agent of the mental health system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToInstitution Context triple: [Big Nurse, relationshipToInstitution, agent of the mental health system]
-
A.
relationshipToUniversity
Indicates the type or nature of a person's or entity's connection or affiliation with a specific university.
-
B.
relationshipToOrganization
chosen
Indicates the nature or type of connection an entity has with a specific organization, such as affiliation, membership, or role.
-
C.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
-
D.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
E.
relatedInstitution
Indicates that there is an institutional connection or association between two entities, such as affiliation, partnership, or organizational linkage.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:38 a.m.