Triple

T9628798
Position Surface form Disambiguated ID Type / Status
Subject Greer Shephard E232539 entity
Predicate knownFor P22 FINISHED
Object producing Trust Me E687740 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: producing Trust Me | Statement: [Greer Shephard, knownFor, producing Trust Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: producing Trust Me
Context triple: [Greer Shephard, knownFor, producing Trust Me]
  • A. Trust Me
    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.
  • B. 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.
  • C. Trust Me
    "Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
  • D. Trust Me chosen
    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. A Question of Trust
    "A Question of Trust" is a philosophical work by Onora O’Neill that examines the nature of trust and accountability in modern public life, especially in politics, media, and professional ethics.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b00162481908f396f6b6e470d6c completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17987e4008190a8d43641072a1c86 completed April 4, 2026, 8:50 p.m.
Created at: March 30, 2026, 8:10 p.m.