Triple

T14520939
Position Surface form Disambiguated ID Type / Status
Subject Poison (film) E340648 entity
Predicate editedBy P1954 FINISHED
Object James Lyons E383232 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: James Lyons | Statement: [Poison (film), editedBy, James Lyons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Lyons
Context triple: [Poison (film), editedBy, James Lyons]
  • A. James Lyons chosen
    James Lyons was an American film editor and occasional screenwriter best known for his frequent collaborations with director Todd Haynes on acclaimed independent films.
  • B. Michael Lyons
    Michael Lyons is a British public servant and former chairman of the BBC Trust, known for his leadership roles in local government and public sector organizations.
  • C. Stephen Lyons
    Stephen Lyons is a central character in the British drama series "Years and Years," which follows a Manchester family navigating rapid social and political changes over several decades.
  • D. Michael Lloyd
    Michael Lloyd is an American record producer best known for his work on hit film soundtracks and numerous pop and rock recordings from the 1970s and 1980s.
  • E. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe3880ee4081908e783231de226448 completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:22 a.m.