Triple

T19862030
Position Surface form Disambiguated ID Type / Status
Subject Rooms on Fire E477287 entity
Predicate producer P490 FINISHED
Object Rupert Hine 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: Rupert Hine | Statement: [Rooms on Fire, producer, Rupert Hine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert Hine
Context triple: [Rooms on Fire, producer, Rupert Hine]
  • A. Rupert Hine chosen
    Rupert Hine was a British musician and record producer known for his innovative work in pop and rock music, including producing major albums for artists like Tina Turner.
  • B. Roy Lunn
    Roy Lunn is a character portrayed by actor JJ Feild, likely within a film or television production.
  • C. Joe Meek
    Joe Meek was a pioneering English record producer and songwriter known for his innovative studio techniques and influential early 1960s pop and experimental recordings.
  • D. Sidney Holland
    Sidney Holland was a New Zealand politician who served as Prime Minister from 1949 to 1957 and led the National Party during a period of post-war economic and social change.
  • E. Dennis Hone
    Dennis Hone is a British public sector executive known for leading the Olympic Delivery Authority as its chief executive during the preparations for the London 2012 Olympic Games.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589b3cbc8190afe847e83f04c45b completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.