Triple
T15639759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary to the Governor of New York |
E376035
|
entity |
| Predicate | mayIncludeRole |
P53912
|
FINISHED |
| Object | chief of staff–like functions |
—
|
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: chief of staff–like functions | Statement: [Secretary to the Governor of New York, mayIncludeRole, chief of staff–like functions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayIncludeRole Context triple: [Secretary to the Governor of New York, mayIncludeRole, chief of staff–like functions]
-
A.
mayGrant
Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to another entity.
-
B.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
C.
mayIncludeFeature
chosen
Indicates that one entity is allowed or able to contain, incorporate, or be associated with a particular feature.
-
D.
supportsRole
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
-
E.
mayPass
Indicates that one entity is permitted or authorized to move through, cross, or gain access to another entity or location.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed06b388190bfebb77fe70e7df1 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.