Triple
T2704346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PBS Digital Studios |
E59306
|
entity |
| Predicate | productionModel |
P490
|
FINISHED |
| Object | online-first production |
—
|
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: online-first production | Statement: [PBS Digital Studios, productionModel, online-first production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionModel Context triple: [PBS Digital Studios, productionModel, online-first production]
-
A.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
-
B.
produces
chosen
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
C.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
-
D.
lastModelProduced
Indicates that one entity is the most recently created or generated model associated with another entity.
-
E.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda518c58819096c8b67c0f754655 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.