Triple

T5317577
Position Surface form Disambiguated ID Type / Status
Subject The Magic Toyshop (1987 film) E121587 entity
Predicate castMember P1668 FINISHED
Object Tom Bell E460223 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: Tom Bell | Statement: [The Magic Toyshop (1987 film), castMember, Tom Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Bell
Context triple: [The Magic Toyshop (1987 film), castMember, Tom Bell]
  • A. Tom Bell
    Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
  • B. Tom Bell chosen
    Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
  • C. Brian Bell
    Brian Bell is a British economist and academic who serves as the chair of the UK government’s Migration Advisory Committee, advising on immigration policy.
  • D. Brian Bell
    Brian Bell is an American musician best known as the rhythm guitarist and backing vocalist for the rock band Weezer.
  • E. Mick Rogers
    Mick Rogers is an Australian former professional road cyclist known for his time-trialling strength and multiple world championship titles in the team time trial.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855269ac8190bb7a9248d04f1823 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21b8692881908f04d8cfd7d3d10d completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:59 p.m.