Triple

T3023008
Position Surface form Disambiguated ID Type / Status
Subject Friendly Persuasion E82507 entity
Predicate editedBy P1954 FINISHED
Object Robert Swink E255026 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: Robert Swink | Statement: [Friendly Persuasion, editedBy, Robert Swink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Swink
Context triple: [Friendly Persuasion, editedBy, Robert Swink]
  • A. Robert Swink chosen
    Robert Swink was an American film editor known for his work on numerous classic Hollywood films, including "Roman Holiday."
  • B. Gilbert Stork
    Gilbert Stork was a prominent 20th-century organic chemist renowned for pioneering methods in stereoselective synthesis and significantly advancing the field of synthetic organic chemistry.
  • C. H. Peter Hofstee
    H. Peter Hofstee is a computer engineer and microprocessor architect best known for his work on advanced processor designs, including contributions at Transmeta and IBM.
  • D. Hans Bonte
    Hans Bonte is a Belgian politician known for serving as the mayor of Vilvoorde and as a member of the federal parliament.
  • E. Robert Hohman
    Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9ab8e0a48190ac79e674abd181cf completed March 8, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deafdcb881908174331d5bfc6349 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.