Triple

T23436137
Position Surface form Disambiguated ID Type / Status
Subject Bad and Crazy E563465 entity
Predicate originalNetwork P2594 FINISHED
Object iQIYI 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 | Statement: [Bad and Crazy, originalNetwork, iQIYI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iQIYI
Context triple: [Bad and Crazy, originalNetwork, iQIYI]
  • A. iQIYI chosen
    iQIYI is a major Chinese online video and streaming platform offering a wide range of films, TV series, and original content.
  • B. Tencent Video
    Tencent Video is a major Chinese online video streaming platform offering a wide range of TV dramas, films, variety shows, and original content.
  • C. Xigua Video
    Xigua Video is a Chinese online video-sharing and streaming platform owned by ByteDance, offering a mix of user-generated and professionally produced content.
  • D. Youku Tudou
    Youku Tudou is a major Chinese online video hosting and streaming platform formed from the merger of Youku and Tudou, often likened to China’s YouTube.
  • E. PPTV
    PPTV is a Chinese online video streaming and live sports broadcasting platform.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5dbdf248190a09e971f2718d01f completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:50 p.m.