Triple

T17521910
Position Surface form Disambiguated ID Type / Status
Subject Posit PBC E426694 entity
Predicate employs P7 FINISHED
Object Hadley Wickham NE NERFINISHED

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: Hadley Wickham | Statement: [Posit PBC, employs, Hadley Wickham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadley Wickham
Context triple: [Posit PBC, employs, Hadley Wickham]
  • A. Hadley Wickham chosen
    Hadley Wickham is a prominent statistician and software developer best known for creating many of the core R packages in the tidyverse, which have transformed data analysis and visualization in R.
  • B. Ross Ihaka
    Ross Ihaka is a New Zealand statistician best known as one of the original creators of the R programming language.
  • C. Martin E. Franklin
    Martin E. Franklin is a British-American businessman and entrepreneur best known for building consumer products conglomerates such as Jarden Corporation through aggressive acquisitions and value-focused management.
  • D. Chris Wiggins
    Chris Wiggins is a Canadian actor best known for his extensive work in television, film, and voice acting, including roles in series such as "Friday the 13th: The Series."
  • E. Alex Heineman
    Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d2f79881909556894728e255ab completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.