Triple

T8291575
Position Surface form Disambiguated ID Type / Status
Subject No Time for Love E193908 entity
Predicate castMember P1668 FINISHED
Object Arthur Loft E603655 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: Arthur Loft | Statement: [No Time for Love, castMember, Arthur Loft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Loft
Context triple: [No Time for Love, castMember, Arthur Loft]
  • A. Arthur Loft chosen
    Arthur Loft was an American character actor active in the 1930s and 1940s, known for his numerous supporting roles in Hollywood films.
  • B. Arthur Seid
    Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
  • C. Edward Grigg
    Edward Grigg was a British colonial administrator, politician, and writer who served as Governor of Kenya and was active in early 20th-century imperial and political circles.
  • D. Arthur Noble
    Arthur Noble was a British colonial military officer in Nova Scotia, best known for his leadership and death in the 1747 Battle of Grand Pré during King George’s War.
  • E. Philip Hudson
    Philip Hudson was an Australian architect best known for co-designing Melbourne’s iconic Shrine of Remembrance war memorial.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c9ccbfc81908825685c23b80d23 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68916c5481908c42f259298b0670 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.