Triple

T3777007
Position Surface form Disambiguated ID Type / Status
Subject The Simple Life E83331 entity
Predicate originalNetwork P2594 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: [The Simple Life, originalNetwork, E!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E!
Context triple: [The Simple Life, originalNetwork, 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. Paris Hilton
    Paris Hilton is an American media personality, socialite, businesswoman, DJ, and reality TV star who rose to fame in the early 2000s and became a pop culture icon.
  • D. Moviefone
    Moviefone is an online service that provides movie showtimes, tickets, and related film information to consumers.
  • E. 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.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f03d3df48190a4b2382059b7bb24 completed March 14, 2026, 5:21 a.m.
Created at: March 8, 2026, 3:36 p.m.