Triple
T28835684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raising Dion |
E728172
|
entity |
| Predicate | originalProgramOf |
P92718
|
FINISHED |
| Object | Netflix |
—
|
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: Netflix | Statement: [Raising Dion, originalProgramOf, Netflix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalProgramOf Context triple: [Raising Dion, originalProgramOf, Netflix]
-
A.
originProgram
Indicates the program, initiative, or source project from which an entity, item, or record originally comes.
-
B.
programOf
Indicates that one entity is a program (such as a course of study or curriculum) that is offered, managed, or associated with another entity (such as an institution, department, or organization).
-
C.
originalProgrammingFor
chosen
Indicates that one entity is the initial or primary creator or producer of programming content for another entity.
-
D.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
-
E.
offersOriginalProgramming
Indicates that one entity provides or makes available its own uniquely created programming content to another entity.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
Created at: April 28, 2026, 6:39 a.m.