Triple

T19179387
Position Surface form Disambiguated ID Type / Status
Subject Stone Spring E469529 entity
Predicate followedBy P78 FINISHED
Object Iron Winter NE NERFINISHED

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: Iron Winter | Statement: [Stone Spring, followedBy, Iron Winter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iron Winter
Context triple: [Stone Spring, followedBy, Iron Winter]
  • A. Iron Winter chosen
    Iron Winter is a science fiction novel by Stephen Baxter that explores the impact of a sudden ice age on a near-future European civilization.
  • B. Winterslag
    Winterslag is a district of the Belgian city of Genk, historically known as a coal mining community.
  • C. The Killing Frost
    The Killing Frost is a crime novel by Australian author Garry Disher featuring detective Hal Challis in a gritty, small-town police procedural.
  • D. Oberwinter
    Oberwinter is a village on the Rhine River in the German state of Rhineland-Palatinate, known as a district of the town of Remagen.
  • E. Crimson Winds
    Crimson Winds is a distinctive component or aspect of the Skydancer, likely representing a specialized feature, ability, or themed element associated with wind or aerial movement.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61ae4108190b3715261cac2dd86 completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.