Triple

T10212632
Position Surface form Disambiguated ID Type / Status
Subject Tim Rice E242367 entity
Predicate collaboratedWith P435 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: [Tim Rice, collaboratedWith, Elton John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elton John
Context triple: [Tim Rice, collaboratedWith, 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. Elton
    Elton is the middle name of the influential Canadian science fiction author A. E. van Vogt.
  • C. Mr. Elton
    Mr. Elton is the self-important village vicar and would-be suitor whose vanity and social ambition create romantic complications in the 1996 film adaptation of Jane Austen’s "Emma."
  • D. Elton John and Bernie Taupin
    Elton John and Bernie Taupin are the legendary songwriting duo behind many of Elton John’s greatest hits, with John composing the music and Taupin writing the lyrics.
  • E. Engelbert Humperdinck
    Engelbert Humperdinck is a British pop singer known for his smooth baritone voice and romantic ballads, achieving international fame with hits like "Release Me" and "The Last Waltz."
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa23bce881909b5deac612ec22cb completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652e25be88190a6f1763e9e86666a completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:03 a.m.