Triple

T7516569
Position Surface form Disambiguated ID Type / Status
Subject Andy Jassy E177659 entity
Predicate familyName P18 FINISHED
Object Jassy E177659 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: Jassy | Statement: [Andy Jassy, familyName, Jassy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jassy
Context triple: [Andy Jassy, familyName, Jassy]
  • A. Jassy
    Jassy (now known as Iași) is a historic city in northeastern Romania that has long served as a major cultural, political, and academic center of the region.
  • B. Jassy chosen
    Jassy is the surname of Andy Jassy, the American business executive and CEO of Amazon.
  • C. Kubachi
    Kubachi is a Northeast Caucasian (Dargin) language variety spoken primarily in the village of Kubachi in Dagestan, Russia, known for its distinct linguistic features and rich local culture.
  • D. Bakhchisarai
    Bakhchisarai is a historic town in Crimea that served as the political and cultural center of the Crimean Tatar khans, renowned for its palaces, mosques, and oriental architecture.
  • E. Soroca
    Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f595148190b36649b0095bb898 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84621ba688190b85ee787b856b138 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.