Triple

T92600
Position Surface form Disambiguated ID Type / Status
Subject Ted Wheeler E1861 entity
Predicate name P16 FINISHED
Object Ted Wheeler E1861 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: Ted Wheeler | Statement: [Ted Wheeler, name, Ted Wheeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Wheeler
Context triple: [Ted Wheeler, name, Ted Wheeler]
  • A. Ted Wheeler chosen
    Ted Wheeler is an American politician and member of the Democratic Party who has served as the mayor of Portland, Oregon, overseeing the city through periods of significant protest and policy debate.
  • B. Edward Zuckerberg
    Edward Zuckerberg is an American dentist and technology enthusiast best known as the father of Facebook co-founder Mark Zuckerberg.
  • C. Jim Loscutoff
    Jim Loscutoff was an American professional basketball forward best known for his rugged defense and seven NBA championships with the Boston Celtics in the 1950s and 1960s.
  • D. Tony James
    Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
  • E. Jimmy Wales
    Jimmy Wales is an American Internet entrepreneur best known as the co-founder of the free online encyclopedia Wikipedia.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24faa6d608190920c8fc144e85e21 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2aa42201881909b236a42e982a696 completed Feb. 28, 2026, 8:41 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.