Triple
T32544229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tencent Pictures |
E831796
|
entity |
| Predicate | platformAffiliation |
P19094
|
FINISHED |
| Object | Tencent Video |
—
|
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: Tencent Video | Statement: [Tencent Pictures, platformAffiliation, Tencent Video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformAffiliation Context triple: [Tencent Pictures, platformAffiliation, Tencent Video]
-
A.
partnerAffiliation
Indicates that two entities are formally associated as partners within an organization, project, or collaborative relationship.
-
B.
ownerAffiliation
Indicates that an entity’s owner is formally associated with, belongs to, or is aligned with another entity or organization.
-
C.
affiliationSystem
Indicates a formal connection between an entity and an organizational, institutional, or structural system with which it is associated or aligned.
-
D.
holderAffiliation
Indicates that a holder (such as a person or organization) is affiliated with, or belongs to, a particular group, institution, or entity.
-
E.
platformOfWorkAppearingIn
chosen
Indicates the platform or medium on which a given work is presented, published, or made available.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:02 a.m.