Triple

T4505455
Position Surface form Disambiguated ID Type / Status
Subject Max E101320 entity
Predicate offersContentFrom P8172 FINISHED
Object CNN Originals E10223 NE 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: CNN Originals | Statement: [Max, offersContentFrom, CNN Originals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN Originals
Context triple: [Max, offersContentFrom, CNN Originals]
  • A. CNN chosen
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • B. Opera News
    Opera News is a personalized news and content aggregation app focused on delivering trending stories, videos, and local updates, particularly popular in emerging markets.
  • C. NBC News Now
    NBC News Now is a free, ad-supported streaming news channel from NBC News that provides live, rolling coverage and original news programming across digital platforms.
  • D. A&E Network
    A&E Network is an American cable and satellite television channel known for its original programming, including documentaries, reality series, and high-quality scripted productions.
  • E. Showtime
    Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports programming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6231856c8190be9386a0ae15e7cf completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f9961ac8190954b2d352d2319fb completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1:01 p.m.