Triple

T14552193
Position Surface form Disambiguated ID Type / Status
Subject A Vision of Fire E341444 entity
Predicate followedBy P78 FINISHED
Object A Dream of Ice E341445 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: A Dream of Ice | Statement: [A Vision of Fire, followedBy, A Dream of Ice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Dream of Ice
Context triple: [A Vision of Fire, followedBy, A Dream of Ice]
  • A. A Dream of Ice chosen
    A Dream of Ice is a science fiction novel co-authored by actress and writer Gillian Anderson that continues the story of a mysterious global conspiracy and otherworldly phenomena.
  • B. Sea of Ice
    Sea of Ice is the English translation of "Mer de Glace," the largest and one of the most famous glaciers in the French Alps near Chamonix.
  • C. Sea of Ice
    Sea of Ice is a themed area within SeaWorld Orlando inspired by polar environments and icy seascapes, typically featuring related attractions and exhibits.
  • D. Blood and Ice
    "Blood and Ice" is a dramatic work by Scottish poet and playwright Liz Lochhead that reimagines the creation of Mary Shelley's Frankenstein and the gothic origins of the famous novel.
  • E. In the Kingdom of Ice
    In the Kingdom of Ice is a narrative nonfiction book by Hampton Sides that recounts the ill-fated 1879–1881 U.S. Arctic expedition of the USS Jeannette in gripping, novelistic detail.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab7d698819085fd81d7b6f96317 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.