Triple

T19583658
Position Surface form Disambiguated ID Type / Status
Subject Podkayne of Mars E490055 entity
Predicate serializedIn P62614 FINISHED
Object Worlds of If 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: Worlds of If | Statement: [Podkayne of Mars, serializedIn, Worlds of If]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worlds of If
Context triple: [Podkayne of Mars, serializedIn, Worlds of If]
  • A. Worlds of If chosen
    Worlds of If was a mid-20th-century American science fiction magazine known for publishing influential genre stories and winning multiple Hugo Awards.
  • B. The Wheels of If
    The Wheels of If is a science fiction alternate history novella by L. Sprague de Camp in which a modern American lawyer finds himself transported into a parallel world where historical events took a different course.
  • C. Other Worlds
    Other Worlds was a mid-20th-century American science fiction magazine that published stories by notable genre authors, including Lester del Rey.
  • D. Other Worlds
    Other Worlds is a science book by Carl Sagan that explores the possibilities of extraterrestrial life and the nature of planets and moons beyond Earth.
  • E. The Imagisphere
    The Imagisphere is the whimsical, handcrafted universe of LittleBigPlanet, filled with imaginative worlds and user-created levels.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6404f34b081908aeb9cc9a5ddf539 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.