Triple

T18586256
Position Surface form Disambiguated ID Type / Status
Subject Hugo Williams E454242 entity
Predicate name P16 FINISHED
Object Hugo Williams 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: Hugo Williams | Statement: [Hugo Williams, name, Hugo Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo Williams
Context triple: [Hugo Williams, name, Hugo Williams]
  • A. Hugo Williams chosen
    Hugo Williams is a British poet and journalist known for his witty, confessional verse and acclaimed collections that have earned him major literary honors.
  • B. Gavin Bowden
    Gavin Bowden is a music video director known for directing the video for the song "You and Me."
  • C. Hugo Barrett
    Hugo Barrett is the manipulative manservant character from the 1963 British film "The Servant," famously played by Dirk Bogarde.
  • D. Pete Shotton
    Pete Shotton was an English musician and businessman best known as John Lennon's close childhood friend and an early member of the skiffle group that evolved into The Beatles.
  • E. Ian Wilkinson
    Ian Wilkinson is a video game industry figure best known as the founder of the Canadian game development studio Radical Entertainment.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b210488190ba62d3bf6e1a595c completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.