Triple

T17248380
Position Surface form Disambiguated ID Type / Status
Subject Devs E418684 entity
Predicate featuresOrganization P629 FINISHED
Object Amaya E1167517 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: Amaya | Statement: [Devs, featuresOrganization, Amaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amaya
Context triple: [Devs, featuresOrganization, Amaya]
  • A. Amaya
    Amaya is a central character in the children's animated series PJ Masks, known for transforming into the superhero Owlette with the power of flight and enhanced vision.
  • B. Amaya chosen
    Amaya is the powerful tech company featured in the television series "Devs," known for its cutting-edge quantum computing research and secretive corporate culture.
  • C. Amaya Jiwe
    Amaya Jiwe is a superheroine known as Vixen, a member of the Justice Society of America who joins the time-traveling team in the Arrowverse series "Legends of Tomorrow."
  • D. Aya
    Aya is a Mesopotamian goddess primarily known as the consort of the sun god Shamash and associated with dawn and light.
  • E. Amaya Namani
    Amaya Namani is an individual known for a close professional or personal association with Jules Reyes.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e2569c081908ffd3ee9c76bcc17 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f744d8819099f10bbba364586d completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.