Triple

T14413914
Position Surface form Disambiguated ID Type / Status
Subject A Christmas Carol (1984 film) E357399 entity
Predicate executiveProducer P7225 FINISHED
Object George Englund E157749 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: George Englund | Statement: [A Christmas Carol (1984 film), executiveProducer, George Englund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Englund
Context triple: [A Christmas Carol (1984 film), executiveProducer, George Englund]
  • A. George Englund chosen
    George Englund was an American film editor, director, and producer known for works like "The Ugly American" and for his long marriage to actress Cloris Leachman.
  • B. Erik Bergman
    Erik Bergman was a Swedish Lutheran pastor and the father of renowned film director Ingmar Bergman.
  • C. Jan Andersson
    Jan Andersson is a Swedish politician who served as a Member of the European Parliament representing the Swedish Social Democratic Party.
  • D. Stellan Bengtsson
    Stellan Bengtsson is a Swedish table tennis legend, renowned as the first Swede to win the men’s singles title at the World Table Tennis Championships in 1971.
  • E. Charles Boberg
    Charles Boberg is a linguist and scholar of North American English dialects, particularly known for his work on regional variation and phonology.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe387f28688190b9d20f1e2bbc0ddc completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:17 a.m.