Triple

T13322121
Position Surface form Disambiguated ID Type / Status
Subject Jump E317339 entity
Predicate writer P1360 FINISHED
Object Chris Smith unclear NED1 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: Chris Smith | Statement: [Jump, writer, Chris Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Smith
Context triple: [Jump, writer, Chris Smith]
  • A. Chris Smith
    Chris Smith is a long-serving Republican U.S. Representative from New Jersey known for his work on human rights and veterans’ issues.
  • B. Jim Smith
    Jim Smith was an English football manager best known for his influential spell in charge of Derby County and a long career managing numerous clubs in the English leagues.
  • C. R. Chris Smith
    R. Chris Smith is an astronomer known for his leadership and contributions to observational cosmology, particularly through his work with the High-z Supernova Search Team studying distant supernovae to probe the expansion of the universe.
  • D. Tom Hughes
    Tom Hughes was an early 20th-century Major League Baseball pitcher best known for his standout season with the Boston Americans in 1903.
  • E. Tom Hughes
    Tom Hughes is a British actor known for his roles in film and television, including period dramas and contemporary comedies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992ab83c8190982d9f54dff6919f completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2a8ba88190a59bc4840ec8ad13 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:30 p.m.