Triple

T8440569
Position Surface form Disambiguated ID Type / Status
Subject John Hannah E199340 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: [John Hannah, notableWork, Trust Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trust Me
Context triple: [John Hannah, 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe138a94081908e306d22aaa39b24 completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9140b48190ad0c493948a3de5e completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:08 p.m.