Triple

T19745825
Position Surface form Disambiguated ID Type / Status
Subject Piers Sellers E474247 entity
Predicate familyName P18 FINISHED
Object Sellers E474247 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: Sellers | Statement: [Piers Sellers, familyName, Sellers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sellers
Context triple: [Piers Sellers, familyName, Sellers]
  • A. Sellers chosen
    Sellers is the surname of Piers Sellers, the British-American NASA astronaut and climate scientist.
  • B. Sellin
    Sellin is a seaside resort town on the German island of Rügen, known for its historic pier and Baltic Sea beaches.
  • C. Outsell
    Outsell is a company that was acquired by customer service software provider Zendesk, likely offering technology or services that complemented Zendesk’s customer support and engagement solutions.
  • D. 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.
  • E. Amazon
    Amazon is the small sailing boat featured in Arthur Ransome’s children’s novel "Swallows and Amazons," crewed by the adventurous Blackett sisters.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529387ac819094e4d66d630e8b98 completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b501e7348190bf2b14c98cd7cdb0 completed May 16, 2026, 12:06 a.m.
Created at: April 10, 2026, 1:47 p.m.