Triple

T3172491
Position Surface form Disambiguated ID Type / Status
Subject Terrence J E66385 entity
Predicate notableWork P4 FINISHED
Object E! News 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! News | Statement: [Terrence J, notableWork, E! News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E! News
Context triple: [Terrence J, notableWork, E! News]
  • 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 Weekly
    Entertainment Weekly is an American magazine and digital media brand that covers film, television, music, books, and pop culture news, reviews, and commentary.
  • C. Good Morning America
    Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
  • D. Celebrity magazines
    Celebrity magazines are popular periodicals that focus on the lives, gossip, fashion, and scandals of famous public figures in entertainment, sports, and other high-profile fields.
  • E. Daily Mail
    The Daily Mail is a British daily tabloid newspaper known for its conservative editorial stance, extensive coverage of celebrity and human-interest stories, and significant influence on UK public opinion.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66da23c81908f063b44b48b1e53 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e81e6f98819099317f97f0c7f546 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:06 p.m.