Triple
T35066764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draal |
E1011751
|
entity |
| Predicate | franchisePlatform |
P182494
|
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: [Draal, franchisePlatform, Netflix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchisePlatform Context triple: [Draal, franchisePlatform, Netflix]
-
A.
appearsInPlatform
Indicates that an entity is present, available, or featured within a particular platform or system.
-
B.
homeFranchisePlatform
Indicates that a franchise operates primarily through a home-based business model supported by a specific platform or system.
-
C.
franchiseUniverse
Indicates that multiple works, characters, or stories exist within and are connected by the same overarching fictional franchise or narrative universe.
-
D.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
E.
gameFranchise
Indicates that one entity is a video game franchise to which the other entity (such as a specific game, character, or related media) belongs or is associated.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.