Triple
T36354942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodbury City Public Schools |
E895315
|
entity |
| Predicate | businessAdministrator |
P78315
|
FINISHED |
| Object | Nancy McCabe |
—
|
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: Nancy McCabe | Statement: [Woodbury City Public Schools, businessAdministrator, Nancy McCabe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessAdministrator Context triple: [Woodbury City Public Schools, businessAdministrator, Nancy McCabe]
-
A.
businessManager
Indicates that one entity serves as the business manager, overseeing and handling business affairs or operations, for another entity.
-
B.
hasBusinessAdministrator
chosen
Indicates that an entity is associated with another entity that serves as its business administrator, responsible for managing its business-related operations or affairs.
-
C.
businessEntity
Indicates a relationship where an entity functions as or is classified as a business or commercial organization.
-
D.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
E.
businessConnection
Indicates a professional or commercial relationship exists between the entities, such as partnership, collaboration, or other business-related association.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.