Triple

T17288736
Position Surface form Disambiguated ID Type / Status
Subject Secret Society E419725 entity
Predicate hasSequel P1961 FINISHED
Object The Trust E1172948 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: The Trust | Statement: [Secret Society, hasSequel, The Trust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Trust
Context triple: [Secret Society, hasSequel, The Trust]
  • A. The Trust chosen
    The Trust is a crime comedy film produced by Cassian Elwes, known for its offbeat heist plot and darkly humorous tone.
  • B. The Trust: A Novel
    The Trust: A Novel is a suspenseful contemporary thriller by Tom Dolby that delves into wealth, secrecy, and power within an elite New York social circle.
  • C. 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.
  • D. Tokens of Trust
    Tokens of Trust is a theological book by Rowan Williams that offers an accessible exploration of the core beliefs and affirmations of the Christian faith.
  • E. The Estate
    The Estate is a 2022 dark comedy film about feuding relatives scheming to win the favor of their terminally ill, wealthy aunt in hopes of inheriting her fortune.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43781b7808190a0528ee9c54a0c66 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017957c738819087341bcd51b55114 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.