Triple

T6159109
Position Surface form Disambiguated ID Type / Status
Subject Lee Thompson Young E137395 entity
Predicate employer P7 FINISHED
Object Disney Channel E32174 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: Disney Channel | Statement: [Lee Thompson Young, employer, Disney Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disney Channel
Context triple: [Lee Thompson Young, employer, Disney Channel]
  • A. Disney Channel chosen
    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.
  • B. Nickelodeon
    Nickelodeon is a major American children’s television network and brand known for its animated series, live-action shows, and kids’ entertainment franchises.
  • C. Nickelodeon
    Nickelodeon is a 1976 comedy film about the chaotic early days of the silent movie industry, directed by Peter Bogdanovich and starring Ryan O’Neal, Burt Reynolds, and Tatum O’Neal.
  • D. Cartoon Network
    Cartoon Network is an American cable television channel known for airing animated series and original cartoons for children and young audiences.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d3445dc8190822954cee90f0dd7 completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419064a48190880005459c86322c completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.