Triple

T2406188
Position Surface form Disambiguated ID Type / Status
Subject Taron Egerton E50280 entity
Predicate portrayed P1668 FINISHED
Object Elton John E39424 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: Elton John | Statement: [Taron Egerton, portrayed, Elton John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elton John
Context triple: [Taron Egerton, portrayed, Elton John]
  • A. Elton John chosen
    Elton John is a legendary British singer, pianist, and composer known for his flamboyant style and numerous hit songs across several decades.
  • B. Cliff Richard
    Cliff Richard is a British pop singer and entertainer whose career has spanned several decades, making him one of the best-selling music artists in UK history.
  • C. Tom Jones
    Tom Jones is a 1963 British comedy-adventure film, based on Henry Fielding’s novel, that became a critical and commercial success and won the Academy Award for Best Picture.
  • D. Tom Jones
    Tom Jones is a Welsh singer renowned for his powerful voice and hit songs like "It's Not Unusual," who became an international star from the 1960s onward.
  • E. Liberace
    Liberace was a flamboyant American pianist and entertainer known for his virtuosic performances, extravagant costumes, and popular television shows from the 1950s onward.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf403f74819082dc50e31f29b171 completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:58 p.m.