Triple

T9341964
Position Surface form Disambiguated ID Type / Status
Subject Lady Jessica E224783 entity
Predicate laterResidence P4907 FINISHED
Object Arrakis E224780 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: Arrakis | Statement: [Lady Jessica, laterResidence, Arrakis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arrakis
Context triple: [Lady Jessica, laterResidence, Arrakis]
  • A. Arrakis chosen
    Arrakis is the harsh desert planet central to the Dune universe, famed as the sole source of the powerful spice melange.
  • B. Tatooine
    Tatooine is a fictional desert planet in the Star Wars universe, best known as the homeworld of Anakin and Luke Skywalker.
  • C. Caladan
    Caladan is the oceanic homeworld of House Atreides in the Dune universe, known for its rainy climate, lush landscapes, and stark contrast to the desert planet Arrakis.
  • D. Arrakeen
    Arrakeen is the principal city and political center on the desert planet Arrakis in Frank Herbert's Dune universe.
  • E. Giedi Prime
    Giedi Prime is the heavily industrialized, polluted homeworld of House Harkonnen in the Dune universe, known for its harsh environment and oppressive society.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bafa9108190889397614756020d completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cc941a88190b0aa9ac56f453e27 completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 7:40 p.m.