Triple
T4846339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youku Tudou |
E108297
|
entity |
| Predicate | originalCompanyYoukuFoundedYear |
P15704
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Youku Tudou, originalCompanyYoukuFoundedYear, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCompanyYoukuFoundedYear Context triple: [Youku Tudou, originalCompanyYoukuFoundedYear, 2006]
-
A.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
B.
productionCompanyOfWork
Indicates that a company is responsible for producing a particular creative work (such as a film, TV show, or similar production).
-
C.
associatedCompanyFoundedIn
chosen
Indicates that the related company was founded in the specified year or time period.
-
D.
parentCompanyOfBroadcaster
Indicates that one company serves as the parent or owning company of a broadcaster.
-
E.
hasProductionCompany
Indicates that an entity (such as a film, show, or media work) is associated with a specific company responsible for its production.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.