Triple

T19179166
Position Surface form Disambiguated ID Type / Status
Subject Manifold: Origin E469523 entity
Predicate isPartOfFranchise P7740 FINISHED
Object Manifold 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: Manifold | Statement: [Manifold: Origin, isPartOfFranchise, Manifold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manifold
Context triple: [Manifold: Origin, isPartOfFranchise, Manifold]
  • A. Manifold: Space
    Manifold: Space is a hard science fiction novel by Stephen Baxter that explores humanity’s attempts to understand the Fermi paradox and the future of intelligent life in the universe.
  • B. Grassmann
    Grassmann is a German surname most notably associated with mathematician Hermann Grassmann, a pioneer of vector spaces and linear algebra.
  • C. Manifold: Time
    Manifold: Time is a hard science fiction novel by Stephen Baxter that explores cosmic-scale questions about the fate of humanity and the universe through rigorous scientific speculation.
  • D. Manifold: Origin chosen
    Manifold: Origin is a hard science fiction novel by Stephen Baxter that explores alternate evolutionary paths of humanity across multiple universes.
  • E. Morphosis
    Morphosis is an innovative American architecture firm known for its bold, fragmented forms and experimental, deconstructivist designs.
  • 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.