Triple

T9633882
Position Surface form Disambiguated ID Type / Status
Subject Universal Kids E232875 entity
Predicate hasSisterChannel P6991 FINISHED
Object E! E65801 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: E! | Statement: [Universal Kids, hasSisterChannel, E!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E!
Context triple: [Universal Kids, hasSisterChannel, E!]
  • A. E! chosen
    E! is an American cable television network best known for its entertainment news, celebrity gossip, and pop culture–focused reality programming.
  • B. Entertainment Tonight
    Entertainment Tonight is a long-running American entertainment news television program that covers celebrity news, Hollywood events, and the film and television industry.
  • C. Us Weekly
    Us Weekly is an American celebrity and entertainment news magazine known for its coverage of Hollywood gossip, fashion, and pop culture.
  • D. People magazine
    People magazine is a popular American weekly publication best known for its celebrity news, human-interest stories, and annual features like "Sexiest Man Alive."
  • E. Inside Edition
    Inside Edition is a long-running American television newsmagazine program that focuses on tabloid-style news, celebrity stories, and human-interest features.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b28ce2c819086d3c6e4e6ea95a7 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18232e34c8190a19685ee9210e88b completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.