Triple

T18234055
Position Surface form Disambiguated ID Type / Status
Subject Love and Learn E436621 entity
Predicate starring P1507 FINISHED
Object Robert Hutton 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: Robert Hutton | Statement: [Love and Learn, starring, Robert Hutton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Hutton
Context triple: [Love and Learn, starring, Robert Hutton]
  • A. Robert Hutton chosen
    Robert Hutton was an American film and television actor active from the 1940s through the 1970s, known for his roles in war dramas, science fiction, and comedies.
  • B. Robert Holgate
    Robert Holgate was a 16th-century English clergyman who served as Archbishop of York and played a significant role in the religious and political upheavals of the English Reformation.
  • C. Edward Hogg
    Edward Hogg is a British actor known for his work in film, television, and theatre, including roles in productions such as "White Lightnin'" and "Anonymous."
  • D. Dudley Sutton
    Dudley Sutton was an English character actor best known for his eccentric and memorable roles in film and television, including his long-running part as Tinker Dill in the series "Lovejoy."
  • E. Robert Pugh
    Robert Pugh is a Welsh actor known for his extensive work in British film and television, including roles in series such as "Game of Thrones" and "Doctor Who."
  • 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.