Triple

T22881234
Position Surface form Disambiguated ID Type / Status
Subject Kate Thompson E567473 entity
Predicate notableWork P4 FINISHED
Object The Blue Hour E567473 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 Blue Hour | Statement: [Kate Thompson, notableWork, The Blue Hour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Blue Hour
Context triple: [Kate Thompson, notableWork, The Blue Hour]
  • A. The Blue Hour chosen
    The Blue Hour is a novel by Irish author Kate Thompson, known for its emotionally rich storytelling and exploration of complex personal relationships.
  • B. The Blue Hour
    The Blue Hour is a crime novel by American author Morton Freedgood, better known by his pen name John Godey, recognized for its gritty urban atmosphere and suspenseful storytelling.
  • C. The Blue Hour of the Day
    The Blue Hour of the Day is a poetry collection by Canadian poet Lorna Crozier that showcases her lyrical, intimate explorations of memory, nature, and human relationships.
  • D. Blue Hour
    Blue Hour is a novel by American author James Leo Herlihy, known for its introspective exploration of human relationships and emotional turmoil.
  • E. The Magic Hour
    The Magic Hour is a segment or component of the podcast "Radio Silence," likely featuring a distinct thematic focus or format within the show.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5c1ed88190aeac131c5aff6102 completed April 29, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9b8d9348190ad45804e7b86644c completed May 19, 2026, 1:15 a.m.
Created at: April 17, 2026, 3:39 p.m.