Triple
T32257427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iQIYI |
E824060
|
entity |
| Predicate | hasOriginalBrand |
P22685
|
FINISHED |
| Object | iQIYI Original |
—
|
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: iQIYI Original | Statement: [iQIYI, hasOriginalBrand, iQIYI Original]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalBrand Context triple: [iQIYI, hasOriginalBrand, iQIYI Original]
-
A.
hasOriginalsBrand
chosen
Indicates that one entity is associated with, or belongs to, the Originals brand of another entity.
-
B.
hasKeyBrandOrigin
Indicates that an entity’s primary or defining brand originates from a specified source or location.
-
C.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
D.
hasOriginalProducer
Indicates that an entity was initially created, manufactured, or produced by a specific producer or organization.
-
E.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 1, 2026, 12:41 a.m.