Triple

T15627647
Position Surface form Disambiguated ID Type / Status
Subject Katie E375723 entity
Predicate employer P7 FINISHED
Object Amaya unclear NED1 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: [Katie, employer, Amaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amaya
Context triple: [Katie, employer, 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
    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. Aya
    Aya is a Mesopotamian goddess primarily known as the consort of the sun god Shamash and associated with dawn and light.
  • D. Amaya Namani
    Amaya Namani is an individual known for a close professional or personal association with Jules Reyes.
  • E. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb4301881908c7157227fdf79b6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678c9d8c8190be73b6e7ed558e99 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:14 a.m.