Triple

T6117439
Position Surface form Disambiguated ID Type / Status
Subject Paramount Media Networks E136394 entity
Predicate operates P24 FINISHED
Object AwesomenessTV E459874 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: AwesomenessTV | Statement: [Paramount Media Networks, operates, AwesomenessTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AwesomenessTV
Context triple: [Paramount Media Networks, operates, AwesomenessTV]
  • A. AwesomenessTV chosen
    AwesomenessTV is a digital media and entertainment company known for producing youth-oriented online content, films, and television series.
  • B. Bounce TV
    Bounce TV is an American digital multicast television network primarily targeting African American audiences with a mix of movies, original series, and syndicated programming.
  • C. Funny or Die
    Funny or Die is a comedy video website and production company known for its celebrity-driven sketches and viral online content.
  • D. Defy TV
    Defy TV is a U.S. digital multicast television network focused on reality-based, action-oriented, and unscripted programming aimed primarily at male audiences.
  • E. Comedy Central
    Comedy Central is an American cable television channel known for its stand-up specials, sketch shows, and satirical series such as The Daily Show and South Park.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05beb4cfc8190ab67a5338ec59cea completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256ddb38819095f582b6468db407 completed March 23, 2026, 11:35 a.m.
Created at: March 22, 2026, 4:14 p.m.