Triple

T22102153
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Could Work Miracles E546196 entity
Predicate starring P1507 FINISHED
Object Roland Young 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: Roland Young | Statement: [The Man Who Could Work Miracles, starring, Roland Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roland Young
Context triple: [The Man Who Could Work Miracles, starring, Roland Young]
  • A. Roland Young chosen
    Roland Young was a British-born character actor best known for his urbane, often bemused comic roles in Hollywood films of the 1930s and 1940s, including the "Topper" series.
  • B. Roland Glenn
    Roland Glenn is a skilled computer hacker and cybercriminal character in the television series "Prison Break."
  • C. Mal Young
    Mal Young is a British television producer and writer best known for his influential work on UK soap operas and dramas, including shaping long-running series such as EastEnders and Brookside.
  • D. Roland Clark
    Roland Clark is an American house music vocalist, producer, and songwriter known for his distinctive spoken-word style and influential contributions to classic and soulful house tracks.
  • E. Rollo Weeks
    Rollo Weeks is a British former actor best known for his lead role in the film "The Little Vampire."
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.