Triple

T15280661
Position Surface form Disambiguated ID Type / Status
Subject George Wright E365260 entity
Predicate name P16 FINISHED
Object George Wright E365260 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: George Wright | Statement: [George Wright, name, George Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Wright
Context triple: [George Wright, name, George Wright]
  • A. George Wright chosen
    George Wright was a 19th-century American baseball star and Hall of Famer, best known as one of the sport’s earliest standout shortstops and a key figure in the development of professional baseball.
  • B. Harry Wright
    Harry Wright was a pioneering 19th-century baseball manager and Hall of Famer, best known for organizing and leading some of the earliest professional teams in the sport.
  • C. Harry O. Wood
    Harry O. Wood was an American seismologist known for his pioneering work in instrumental seismology and the development of early standardized seismographs.
  • D. John Dye
    John Dye was an American actor best known for his role as the angel Andrew on the television series "Touched by an Angel."
  • E. Charles Morton
    Charles Morton was an 18th-century English dissenting minister and educator best known for founding influential nonconformist academies and later serving as vice president of Harvard College.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e504d8c8190ad6c565a31d1a9bd completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef754c9c8190abdc1d08fd1511cd completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.