Triple

T19179527
Position Surface form Disambiguated ID Type / Status
Subject Ultima E469533 entity
Predicate hasMainCharacter P1183 FINISHED
Object Yuri Eden 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: Yuri Eden | Statement: [Ultima, hasMainCharacter, Yuri Eden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuri Eden
Context triple: [Ultima, hasMainCharacter, Yuri Eden]
  • A. Yuri Eden chosen
    Yuri Eden is a central human character in Alastair Reynolds' science fiction novel "Proxima," whose experiences explore themes of colonization, survival, and the challenges of life on an alien world.
  • B. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • C. Yuri
    Yuri is a Papuan language belonging to the Karkar-Yuri language family of New Guinea.
  • D. Eden Gaha
    Eden Gaha is an Australian television producer and executive known for overseeing numerous reality and competition series in the United States.
  • E. Eden Pedecaris
    Eden Pedecaris is the fictional American woman at the center of the 1975 adventure film "The Wind and the Lion," whose kidnapping in Morocco drives the movie’s political and romantic drama.
  • 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.