Triple

T17901740
Position Surface form Disambiguated ID Type / Status
Subject Fabiana Udenio E447595 entity
Predicate notableWork P4 FINISHED
Object Amazon NE NERFINISHED

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: Amazon | Statement: [Fabiana Udenio, notableWork, Amazon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon
Context triple: [Fabiana Udenio, notableWork, Amazon]
  • A. Amazon
    Amazon is a multinational technology and e-commerce company best known for its vast online marketplace, cloud computing services through AWS, and significant influence on global retail and logistics.
  • B. Amazon chosen
    Amazon is the small sailing boat featured in Arthur Ransome’s children’s novel "Swallows and Amazons," crewed by the adventurous Blackett sisters.
  • C. Amazon
    The Amazons are a legendary race of warrior women from Greek mythology, often depicted as exceptionally skilled fighters living in a matriarchal society apart from the world of men.
  • D. Amazon Prime
    Amazon Prime is a subscription service from Amazon that offers members benefits like fast shipping, streaming video and music, and access to exclusive deals.
  • E. Amazon.de
    Amazon.de is the German version of Amazon’s online marketplace, offering a wide range of products and services tailored to customers in Germany and neighboring European countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e98fb688190815ac308e5ed7fde completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.