Triple

T12685216
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Arend E303048 entity
Predicate notableWork P4 FINISHED
Object Trust Me E246927 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: Trust Me | Statement: [Geoffrey Arend, notableWork, Trust Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trust Me
Context triple: [Geoffrey Arend, notableWork, Trust Me]
  • A. Trust Me
    "Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
  • B. Trust Me chosen
    Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
  • C. Trust Me
    Trust Me is a short story collection by American author John Updike that explores themes of family, faith, and middle-class life in contemporary America.
  • D. Trust Me
    Trust Me is an American television drama series that explores the high-pressure world of advertising through the personal and professional struggles of two creative executives.
  • E. Trust in Me
    "Trust in Me" is a hypnotic song from Disney's 1967 animated film *The Jungle Book*, performed by the snake Kaa and written by the songwriting duo the Sherman Brothers.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a8f068819086e2191439607f76 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.