Triple

T7714354
Position Surface form Disambiguated ID Type / Status
Subject Far from Heaven E174843 entity
Predicate editor 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: [Far from Heaven, editor, James Lyons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Lyons
Context triple: [Far from Heaven, editor, 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. 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.
  • C. Alexander Haddow
    Alexander Haddow was a Scottish epidemiologist and virologist noted for his pioneering research on insect-borne viruses, particularly in Africa.
  • D. Gil Noble
    Gil Noble was an influential American television journalist and longtime host of the public affairs program "Like It Is," known for his in-depth coverage of African American history, culture, and politics.
  • E. Michael Byrne
    Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e57c9e00819096730c74c5202027 completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 4:04 p.m.