Triple
T28866781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABC Movie of the Week |
E729022
|
entity |
| Predicate | originalProgrammingForNetwork |
P92718
|
FINISHED |
| Object | ABC |
—
|
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: ABC | Statement: [ABC Movie of the Week, originalProgrammingForNetwork, ABC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalProgrammingForNetwork Context triple: [ABC Movie of the Week, originalProgrammingForNetwork, ABC]
-
A.
originalProgrammingFor
chosen
Indicates that one entity is the initial or primary creator or producer of programming content for another entity.
-
B.
offersOriginalProgramming
Indicates that one entity provides or makes available its own uniquely created programming content to another entity.
-
C.
originalProgrammingFocus
Indicates that something’s primary or initial emphasis or specialization is in programming or software development.
-
D.
networkOfProgram
Indicates a relationship where a program is part of, or connected within, a broader network of related programs or systems.
-
E.
originProgram
Indicates the program, initiative, or source project from which an entity, item, or record originally comes.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: April 28, 2026, 6:49 a.m.