Triple

T1225764
Position Surface form Disambiguated ID Type / Status
Subject Nick Cannon E26322 entity
Predicate employer P7 FINISHED
Object Nickelodeon E135223 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: Nickelodeon | Statement: [Nick Cannon, employer, Nickelodeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nickelodeon
Context triple: [Nick Cannon, employer, Nickelodeon]
  • A. Nickelodeon chosen
    Nickelodeon is a major American children’s television network and brand known for its animated series, live-action shows, and kids’ entertainment franchises.
  • B. Disney Channel
    Disney Channel is a global cable and satellite television network owned by The Walt Disney Company, best known for its family-oriented programming, original series, and movies aimed primarily at children and teenagers.
  • C. Cartoon Network
    Cartoon Network is an American cable television channel known for airing animated series and original cartoons for children and young audiences.
  • D. Nickelodeon Movies
    Nickelodeon Movies is the film production arm of the Nickelodeon brand, best known for creating family-oriented and animated feature films based on its popular television properties.
  • E. DISN
    DISN is the U.S. Department of Defense’s global telecommunications and data network infrastructure that securely connects military, government, and authorized partners worldwide.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be39908481908cca21aaf0828415 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a0fcf508190be3668bd55f6f6d6 completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:47 p.m.