Triple
T29416755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam & Max Save the World |
E746046
|
entity |
| Predicate | originalDistributionModel |
P200605
|
FINISHED |
| Object | online episodic distribution |
—
|
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 episodic distribution | Statement: [Sam & Max Save the World, originalDistributionModel, online episodic distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalDistributionModel Context triple: [Sam & Max Save the World, originalDistributionModel, online episodic distribution]
-
A.
previouslyHadDistributionModel
Indicates that an entity was associated with a particular distribution model at some point in the past, but no longer uses it currently.
-
B.
outputDistribution
Indicates how the results or products of a process are allocated, shared, or delivered across different recipients, channels, or locations.
-
C.
primaryDistribution
Indicates that one entity serves as the main or principal channel through which another entity is distributed or allocated.
-
D.
distributionFor
Indicates a relationship where one entity serves as the distribution, delivery, or dissemination mechanism for another entity.
-
E.
previousDistribution
Indicates that one distribution event or state occurred immediately before another in a sequence.
- F. None of above. chosen
Provenance (4 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69ff9b1ad27081908f8a492396950795 |
completed | May 9, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69ff9a6354c48190ae21070c1424cb7a |
completed | May 9, 2026, 8:34 p.m. |
| PDg | Predicate description generation | batch_69ff9b19f254819099bb9c034d2b399b |
completed | May 9, 2026, 8:37 p.m. |
Created at: April 28, 2026, 3:01 p.m.