Triple

T3172489
Position Surface form Disambiguated ID Type / Status
Subject Terrence J E66385 entity
Predicate employer P7 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: [Terrence J, employer, E!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E!
Context triple: [Terrence J, employer, 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. Good Morning America
    Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
  • C. Moviefone
    Moviefone is an online service that provides movie showtimes, tickets, and related film information to consumers.
  • D. 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.
  • E. Shondaland
    Shondaland is a television production company founded by writer-producer Shonda Rhimes, best known for creating popular, character-driven drama series such as Grey’s Anatomy and Scandal.
  • 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_69b28e4cdd2c8190a4b09e968b9d39be completed March 12, 2026, 9:58 a.m.
Created at: March 8, 2026, 3:06 p.m.