Triple

T2405837
Position Surface form Disambiguated ID Type / Status
Subject Peter Bogdanovich E50274 entity
Predicate notableWork P4 FINISHED
Object Nickelodeon E113510 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: [Peter Bogdanovich, notableWork, Nickelodeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nickelodeon
Context triple: [Peter Bogdanovich, notableWork, Nickelodeon]
  • A. Nickelodeon
    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 chosen
    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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e95334819093923b0c36b968f2 completed March 9, 2026, 11:50 a.m.
Created at: March 4, 2026, 7:58 p.m.