Triple
T30258543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoey Brooks |
E769418
|
entity |
| Predicate | fictionalSchool |
P29320
|
FINISHED |
| Object | Pacific Coast Academy |
—
|
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: Pacific Coast Academy | Statement: [Zoey Brooks, fictionalSchool, Pacific Coast Academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalSchool Context triple: [Zoey Brooks, fictionalSchool, Pacific Coast Academy]
-
A.
fictionalEducation
Indicates that one entity has an educational background, training, or schooling that exists only within a fictional or imaginary context relative to another entity.
-
B.
hasFictionalSchool
chosen
Indicates that an entity is associated with or contains a school that exists only within a fictional or imaginary context.
-
C.
fictionalSon
Indicates that one entity is portrayed as the son of another entity within a fictional or narrative context.
-
D.
fictionalType
Indicates that one entity is a fictional or imaginary type or category of the other entity.
-
E.
fictionalFocus
Indicates that the primary emphasis or attention within a context is placed on fictional content, elements, or aspects.
- 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_69f22484a5f48190b678cd607700bc82 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: April 29, 2026, 7:41 p.m.