Triple

T18234059
Position Surface form Disambiguated ID Type / Status
Subject Love and Learn E436621 entity
Predicate starring P1507 FINISHED
Object Henry Stephenson — 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: Henry Stephenson | Statement: [Love and Learn, starring, Henry Stephenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henry Stephenson
Context triple: [Love and Learn, starring, Henry Stephenson]
  • A. Henry Stephenson chosen
    Henry Stephenson was a British character actor known for his dignified, often aristocratic roles in Hollywood films of the 1930s and 1940s.
  • B. Thomas Fairbairn
    Thomas Fairbairn was a prominent 19th-century British industrialist and art patron known for his leading role in organizing major art exhibitions in Manchester.
  • C. William Jaggard
    William Jaggard was a London printer and publisher best known for producing the 1623 First Folio of Shakespeare’s plays.
  • D. Henry Bell
    Henry Bell was a Scottish engineer and pioneer of steamship navigation, best known for operating one of Europe's first successful passenger steamboats in the early 19th century.
  • E. Henry Bell
    Henry Bell was a 17th-century English architect and mayor of King's Lynn, noted for designing prominent Baroque-style civic and commercial buildings.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b512a88190aa493b0793ab28b3 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.