Triple

T23251391
Position Surface form Disambiguated ID Type / Status
Subject Rai Movie E581738 entity
Predicate hasSisterChannel P6991 FINISHED
Object Rai Gulp 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: Rai Gulp | Statement: [Rai Movie, hasSisterChannel, Rai Gulp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rai Gulp
Context triple: [Rai Movie, hasSisterChannel, Rai Gulp]
  • A. Rai Gulp chosen
    Rai Gulp is an Italian free-to-air television channel from the public broadcaster RAI that focuses on programming for children and young audiences.
  • B. Rai Yoyo
    Rai Yoyo is an Italian free-to-air television channel dedicated primarily to children's programming and animated series.
  • C. Rai
    Rai is an alternative name used to refer to Umeed Rai, likely as a shortened or familiar form of their full name.
  • D. Rai
    Rai is an ancient city in Iran, now largely incorporated into the southern suburbs of Tehran and known for its historical and archaeological significance.
  • E. Rai
    Rai are an indigenous ethnic group from the eastern Himalayan region of Nepal, known for their distinct Kirati culture, languages, and traditions.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f7249481909424867e9542d35e completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:10 p.m.