Triple

T8492463
Position Surface form Disambiguated ID Type / Status
Subject Foundation universe E201005 entity
Predicate hasCharacter P2308 FINISHED
Object Bayta Darell E205689 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: Bayta Darell | Statement: [Foundation universe, hasCharacter, Bayta Darell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayta Darell
Context triple: [Foundation universe, hasCharacter, Bayta Darell]
  • A. Bayta Darell chosen
    Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
  • B. Zarité Sedella
    Zarité Sedella is the enslaved Haitian woman of mixed African and Indigenous descent whose life, resilience, and quest for freedom drive the narrative of Isabel Allende’s historical novel "Island Beneath the Sea."
  • C. Torhi Harper
    Torhi Harper is the birth name of Murphy Lee, an American rapper best known as a member of St. Lunatics and for his work with Nelly.
  • D. Lara Breay
    Lara Breay is a film producer best known for her work on the animated superhero comedy "Megamind."
  • E. Meeka Joffer
    Meeka Joffer is a royal princess and the ambitious, modern-minded daughter of Prince Akeem in the comedy film "Coming 2 America."
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe55cf5dc81908cad31ac53e15b46 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb5dbfc08190827e8e886a37a8be completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:13 p.m.