Triple

T7631717
Position Surface form Disambiguated ID Type / Status
Subject President of the United Auto Workers E172771 entity
Predicate notableHolder P1918 FINISHED
Object Shawn Fain E678791 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: Shawn Fain | Statement: [President of the United Auto Workers, notableHolder, Shawn Fain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawn Fain
Context triple: [President of the United Auto Workers, notableHolder, Shawn Fain]
  • A. Shawn Fain chosen
    Shawn Fain is an American labor leader and reformer who became nationally prominent as the president of the United Auto Workers, leading high-profile contract battles with major automakers.
  • B. Leo Feist
    Leo Feist was an American music publisher and entrepreneur who became a prominent figure in the early 20th-century sheet music and popular song industry.
  • C. Max Novendstern
    Max Novendstern is an entrepreneur best known as a co-founder of the cryptocurrency and digital identity project Worldcoin.
  • D. Daniel Lapaine
    Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
  • E. Andrew Watts
    Andrew Watts is a British countertenor known for his performances in contemporary opera and concert repertoire.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa4d2808190942129110711788b completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ab967108190bffea7676c44232b completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:57 p.m.