Triple

T496735
Position Surface form Disambiguated ID Type / Status
Subject Tobias Read E10309 entity
Predicate givenName P17 FINISHED
Object Tobias E60703 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: Tobias | Statement: [Tobias Read, givenName, Tobias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobias
Context triple: [Tobias Read, givenName, Tobias]
  • A. Tobias Read chosen
    Tobias Read is an American politician who has served as Oregon's State Treasurer, overseeing the state's financial management and public investment programs.
  • B. Trevor
    Trevor is a masculine given name of English origin commonly used in the UK and other English-speaking countries.
  • C. Caleb
    Caleb is a male given name of Hebrew origin meaning "devotion" or "whole-hearted," commonly used in English-speaking countries.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f116f1b4819082f88d6c747368ae completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efca0f888190add0fe7ab325bfdf completed March 2, 2026, 2:02 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.