Triple

T2117062
Position Surface form Disambiguated ID Type / Status
Subject Flaming Pie E43832 entity
Predicate producer P490 FINISHED
Object Jeff Lynne E98940 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: Jeff Lynne | Statement: [Flaming Pie, producer, Jeff Lynne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Lynne
Context triple: [Flaming Pie, producer, Jeff Lynne]
  • A. Jeff Lynne chosen
    Jeff Lynne is an English singer, songwriter, producer, and co-founder of Electric Light Orchestra, renowned for his lush, layered production style and collaborations with major rock artists.
  • B. Brian May
    Brian May is an English musician, astrophysicist, and songwriter best known as the lead guitarist of the rock band Queen.
  • C. Trevor Horn
    Trevor Horn is a renowned English record producer, musician, and songwriter known for his influential work in shaping the sound of 1980s pop and new wave music.
  • D. Gary Kemp
    Gary Kemp is an English musician and actor best known as the guitarist and songwriter for the band Spandau Ballet and for his roles in films such as "The Krays."
  • E. Stewart Copeland
    Stewart Copeland is an American drummer and composer best known as the co-founder and drummer of the rock band The Police and for his extensive work in film and television scoring.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb2f6f608190937889bb393fe7c6 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3078c0688190aefe179c5572721d completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.